ArcGIS Online: Exploring Your Data with Smart Mapping

this is ArcGIS online exploring your data with smart mapping we appreciate you guys being here it is a four o'clock on Thursday we are literally in the final stretch I'm proud of everyone in this room for being here the most dedicated people as a conference you guys are excited about maps too it seems like maybe like a little bit my name is Lisa berry I'm a cartographic product engineer on the ArcGIS living atlas of the world team I make a lot of maps about demographic data and I'm Jennifer Bell I'm also in the living Atlas team we sit next to each other at work in Redlands and you make Maps every day I love making maps about transportation and accessibility and policy maps all right so let's get into it so in this session we're going to show you how to explore your data like never before you don't need to know anything about smart mapping you don't need to know anything about your data this exercise is just we're gonna teach you some techniques tips and tricks on how to give yourself permission to explore the data and I'm gonna go ahead and hand you that permission right now I'm gonna tell you that all the clicks I do I give you permission when you get home to go click buttons so in this session we will show you what smart mapping is where to find it how to use it so that when you go home you can go click those buttons will show some examples of what rendering options are available and when you might use each type and then once you've seen it happen and you see oh that's really easy maybe you'll feel comfortable trying it at home because you realize hey this is not so hard and you'll learn a lot of new things about your data hopefully from learning some techniques from here and we'll try to fit in some tips and tricks as we go on how to make your Maps more clear more beautiful more meaningful just some we're both cartographers so we like to just throw in little hey you know if you do this little thing it makes your map a little bit easier to understand so we'll throw in a few of those as well yeah so what is smart mapping where do you find it how do you use it the session we'll talk about how smart mapping is a tool that helps you with your cartography not only that it also helps with data exploration and so when you add a field to when you choose when you choose a field smart mapping looks at your data type or the attributes and suggests ways to visualize your map and it allows you to make adjustments really easily and it automatically shows up on the map so you can explore the data that way and yeah don't be afraid to try it and one thing that you'll see is that you actually can learn more about the data because right in the interface is everything you need gives you the histogram by default it gives you some important numbers and we'll show you some examples of that so again we're gonna show you how you can learn about your data quickly and easily and again I'm gonna go ahead and give you that permission to take five minutes just five minutes to play with the data a few minutes before you make the map because sometimes you you think oh well I have to make this one map well there may be there may be patterns hidden in your data that if you don't take the time to explore for those five minutes you may never find it and there may be some treasure map treasure map hidden in in your data and you may not even you may not even find it if you don't spend that five minutes so smart mapping makes it really easy to make quick easy quick adjustments to your map and if you don't like what you did you click cancel no harm no foul try putting in different fields together within the same map we'll show you some techniques on how to do that and we really encourage you to go into the options and change it from the default settings you know we see a lot of those orange dot maps we see a lot of the blue maps and so in this session we're gonna encourage you click that options button and try things try some try a different color ramp try different breakpoints just learn more as you go through it so we like to tell people to try and let the day speak for itself - at first you know when you're exploring it your data is actually got a lot of information in it and a lot of times we just will start with the map on the top left versus points but then you could try making it a heat map maybe start to see some density or you can do for example with points you can do clustering that can help merge some new patterns by simply clicking one button you may learn something new just by trying clustering and then you can also map with counts and amounts and so when you're in the smart mapping interface you'll actually see this phrase a few times counts and amounts that just means it's a numeric value the value in that field is a number and you can use size you can use color to represent numeric values and you can also use color in size how many people in this room have made a color and size map before that's a lot of the room that makes me really excited so you guys will see this ago I know how to do that but maybe we'll teach you a trick or two on playing with the data a little bit with that yeah so this is an example of color and size we've got annual average daily traffic in Florida and each color represents a different district and then the size or the width of the line is how many cars are on that road or that freeway on a daily basis and so we that's thanks oh and clustering like I mentioned it's an option it's it's not technically in the smart mapping interface but it works with smart mapping to hold on to whatever settings you had in the map and it does help you explore and so we do consider it kind of an add-on to smart mapping even though it's not in the exact interface and so we go ahead and just jump into some demos so give me us a good I'm going to duplicate my screen so here we are in ArcGIS online oh did you want to actually see my screen let's see here I've had this happen already this week so hopefully this fixes it aha alright we're back in business so here we are in ArcGIS online and tip number one is that I know that Jennifer and I both are impartial to not using the default base map either so when I'm first making a map now the first thing I like to do is change it to light gray I know that Jennifer's a dark gray type of person but I'm the light gray fan so I'm gonna go ahead and show you how I explore data on light gray and one of the reasons this actually does help us explore our data is because it gives us a neutral backdrop so instead of being distracted by the blues and the greens and the topographic it just gives us some reference and that way we're focusing more on the data rather than what's behind it and so I'm gonna get us started immediately by adding a living Atlas layer again we're on the living Atlas team's always like to encourage people and show people what's in here I'm gonna show a really interesting valuable layer called the County Health Rankings data has anyone heard of this data alright so this is a layer that is jam-packed full of information about all the counties in the United States and this layer is immensely valuable to help counties see how they're doing along many different health related factors that may have to do with a socio-economic and may have to do with health but all we did was add this and now we have data in our map but we don't know what's in here we want to start exploring so here's where I'm gonna give you the permission to push this button right here this is how you access a smart mapping this is the change style button this is how you get into the smart mapping interface and it even guides you through this experience choose an attribute to show so by default we're just seeing location I'm gonna go ahead and see what's in this data so immediately I can see that there is a long list of field so I could spend the time to look at all these but for the sake of keeping this under an hour I'm gonna go ahead and just choose a few so I like to when I'm mapping demographics start with mapping % values because when you map totals they start to look all like total population maps because it turns out there's more people in cities then there are in rural so they all the map start to look the same so I gravitate towards starting but with those % values and so this layer actually is jam-packed full of percentage values so I can immediately click on one of these to learn something new if I click % Asian I want to learn something new about where the asian population population is in the United States ok I see some city patterns I see Chicago I see Dallas a lot of a lot of them on the west coast especially in Southern California central California I didn't know this before this is this is interesting we just did our first exploration we are rolling let's try let's try another one let's see where is the where is the non Hispanic african-american population in the United States all right we immediately just saw a new pattern all we did was click one button and we immediately learned something new this is that five minute exploration process like I mentioned okay I just learned something new about this let's go ahead and try one more let's try Hispanic population we let it do its magic and Wow okay we've learned something new and so what you'll see what's happening here is that I chose numeric values and smart mapping only gave me options applicable to that data type so I chose a percent and it's giving me counts and amounts again color and size so this is my option so I could be happy that with this map while I'm learning something new but again push the button click the options go beyond the defaults click in here and this opens a world of new information that could be learned about this data we're immediately seeing the min and the max okay 96% max the average right here is 9% by counties by default smart mapping gives you plus or minus one standard deviation around the mean so you know that when you click on this map smart mapping did you a favor it said I'm only going to represent these significant values with those strongest colors and so that's why it is such a great tool for data exploration is the fact that we immediately are seeing a significant pattern this isn't just oh I did quantiles and it gave me a map and it's there it's know this is those darkest colors are significant in this data set but you know I don't think blue is working and so I'm gonna go ahead and click this button and explore some more I'd really like to explore what colors are available maybe I want this map to be purple I like purple it's a good color anyone who's been in my other sessions you know I choose this ramp every time and this immediately is telling us a really interesting clear story we spent just a few minutes clicked maybe three or four buttons and this map is already really valuable and telling us something new there's this cool trick in smart mapping called themes this one by default is showing high to low where the lowest values are that yellow color highest values are purple but if you change this to above and below this is a really interesting trick if you have a threshold like if I know the national average is say 12% I can change that and now I have a data-driven map that's centered around an important value a meaningful value and now again those colors are showing us a really distinct pattern so that now anything above average is purple and anything below is read that don't quote me on this number I kind of chose just chose 12 but this is a really effective way to map something in order to compare the two ends of the spectrum and when you go into symbols you'll notice that the ramps are all diverging that means there's a color in the middle and then two different colors at the edge so this is a really interesting technique that you can use to emphasize patterns at the edges of your data I'm going to go ahead and click this back just to show the the high to low again I'm going to put it back to purple because I like it and so there we go we just explored the percent Hispanic population but for one of the tips and tricks again that will all hand you out is when I'm mapping a percent I maybe do still want to see that total value how many Hispanic people are living in each County and this data set is absolutely massive and so I'm gonna go ahead and explore down here and I bet in H it says Hispanic population so I'm learning something new and I immediately get this interesting map you'll see that it automatically gave me more options based on the fact of what I chose and I can go into the options I see I have color options and I have size options I'm not really thinking these cult this size is working right I don't feel like this pattern is clear yet so again give yourself permission click that button go in here look at the data values yeah it looks like there's an outlier there's some huge county oh look it's Los Angeles that's driving this map to be doing something else so a technique that Jennifer and I like to use we like to drag the lower value to roughly the average okay so let's say 18,000 for the lowest value but let's go ahead and just drag this down and start to see how the pattern emerges okay cities are showing up cities in the southern part of South western part of the United States are showing up Wow all I did was drag a few things and I immediately saw some new really interesting patterns in this data and so I really encourage you guys to spend this five minutes I mean we didn't we didn't really just do anything crazy just now but we just made a new interesting map by giving ourselves permission to click those buttons oh I just clicked too many times out I do want to highlight a new feature that just came out recently in ArcGIS online you can now add field descriptions to your fields so if you are working with data you know how many times you see the field tote pop you know see why okay that's you know that's from shapefile days right we were limited to what eight characters and but then you'll notice this layer has alias names so alias names were you know that little bit longer to give us more context but now you can also add a field description in ArcGIS online and I can say I want to view the description so you can put in contextual information like this field is from the census and the the vintage is 2017 and so this is nice because this is living right within the map and so I just learned something more about my data I just did a little bit more data exploration within smart mapping by the fact that when this data was hosted into the Living Atlas the person who made it did me a favor and they made this field description so that was the intro intro to how to work with numbers in ArcGIS online I'll show one more thing is the clustering and how this can help us map so this map is showing us different types of police incidents in Philadelphia and how many times have we made maps like this where it's a bajillion points all overlapping this is not useful no one could ever make a decision or even learn anything about this data other than that's a lot of colors so clustering is really just one click right here next to the change style button is the blue dot and it says cluster points so if I were to click this it's on the fly clustering my points and it's maintaining my cartography so the colors mean the same thing that they meant before but it and I didn't have to do any analysis and I was able to immediately see a new pattern about my data but there's also this option to cluster more or less if I want more clustering I can go the right or I can slowly move this to the left to see some emerging patterns ok I'm already seen more about my data than I did before the size is showing me how many points are in that area and the color is showing me the predominant value that's in that area so I'm immediately seen this dark blue in the downtown area I'm seeing these oranges just on the outskirts and on the outskirts over here and so now this is giving me more information about my data and all I did was click clustering and slide it a little bit this map is Aeons better and more understandable than the previous one so now I'm going to hand it off to Jennifer to show us some more exciting tricks yeah so here's a map of veteran hospitals around the nation and they the US government has given a score to each of the hospitals score ville it's one through five so one is the where score and five is the best you can get and so I want to show you how to symbolize using the types drawing style so it's the star score from 2018 and here it automatically suggests that we show it with size so the bigger the symbol the better the score we can show with counts in amounts color we can use both or we can use this types unique symbols drawing style and here we're presented with an order a ranking of three is the most common there are 56 veteran hospitals with the score of 3 and one is nicely the leaf the least common itself to be arranged the values look at the legend so I just moved five up here I'm going to move four at the top three two one so that's really handy when working with the legend in your mind you can also change your labels as well so I'm going to keep it like that we can change the colors I am the symbols so we have these unique category colors here and then at the very bottom we have a sequential color ramp so that's good for things that are ranked like one through five or predominant education level or predominant income or age so what I'm going to do is change the symbol so has anyone ever uploaded their own symbol you can create your own I like to make mine in Illustrator post it in artists online or any other posting site and then copy and paste that URL into here so I ended up doing that and painted a map like this that shows a very clear pattern of fives and fours on the East Coast and ones twos and threes on the west coast really makes you wonder you know what's going on with that and so for the five you can also do it here too there's a bunch of different categories you can choose from they have really great symbols the government one is new I believe yeah these are new and so we're currently creating a new map viewer so right now we're looking at the map and ArcGIS online I'm on a team that's creating a new version of that updated version right now it's a pre pre-alpha um but in the future I think by September we want to release in September beta this September but we'll have these an SVG format so right now if I click one add it to the map I can't change the color of this like the only thing I can do is change the symbol sides but in the new release that the map viewer will be able to change the colors with any symbol that you choose and I can show that to you guys at the end I saw some little claps out there oh yeah I'm excited about it too so yeah just maybe I'll do this and make it a fifty and since it's a five that's a good score I'll make it green and you can do that for each of them so I'm not going to stay here and do them all but that's some categories for you the types unique symbols drawing style these are good for categories like the crime that you showed earlier so yeah you can add your map to an app and share your story that way [Music] transitions are hard okay so that was a good introduction to some of the basics types of drawing styles so many of you raised your hands and he made maps before so this is to take us to the next level with predominance and relationship and time so I'll share about predominance think of predominance mapping like you would an election map you know you've got different parties you know trying to win the vote and so at the end you want to see in each area which one had more votes which one won so the red and blue map is a voting math or the predominant vote map this one on the left on the right side is predominant education so what's the highest education level in each county or in each location which what's the most common type of crop that's grown there so you enter all the fields and it automatically finds the field with the highest value so before I'm at least when I first started we would write scripts with Python to look through all the rows and columns and decipher which one was the most and add an added field a new field and out perfectly - you late birth life now it's just the click of a button so it was really cool to work with the developing team to get this in there know just the size oh and we can also use size so say we want to do the number of but who won red or blue and then by how much then you would have the color and then you'd have the size show the number of votes or the count of the votes another technique that you can do in smart mapping this was this was not always available but you can choose a date field so if you have a field that is in a date format so my wrapping will actually recognize that that's a date field and offer you a way to map that you can even either map it as over a continuous time spectrum in a new old or you can do it by age you can choose a date and say how you know I have an inspection that happened and I want to know how old is it from today's date you know how many days ago did this happen and so that way you can see if something is in compliance or not and so you can easily use smart mapping to explore which which ones which inspections may not be meeting a compliance you can also choose to add size you can map time as size or color so I'll show you how to do that with color in just a minute relationship mapping is also pretty new it just came out last year this is a really interesting way to compare two of your data attributes if you have two things that you think might be related relationship mapping is an easy way to see where the patterns are overlapping and I want to emphasize this doesn't this is not causation it's just showing where the patterns overlap and so if you have a pattern that's happening strongly for two different things in the same place relationship mapping will help emphasize that on the map if you want to see where it's maybe not happening in a place it'll show you the lohi patterns as a grid and that grid can help tell a story where it you want usually like one of the corners of the grid to be the point of emphasis I want that corner to tell me an interesting story because that's maybe the part of the pattern that I would like to be interested in you can also use size you can customize the legend and you can make make a really interesting map that tells a really cool story about two different patterns so I'll show you this again in just a minute arcane expressions this is my favorite thing to show I had a few other sessions today about it and it's really great when you want to edit data that you don't own you know you go to open data you pull in a layer or you may be someone else from the organization's layer or from the living not living atlas and you want it to show it in a slightly different way we can use our Arcade expressions for that it's also really good for live live feeds oh yeah so things are constantly changing and you want to update the data on the fly you would do so with our kata expressions so helps you make simple calculations you can do complex scripts even like if else statements and wind statements and you can use it for symbology your pop-ups your labels your rotation and your transparency and you can use it in online and impro so it's a really powerful tool that's very easy to learn so we'll give some demos about that so it's a new language so it's called Arcade expressions and it's very similar to excel so in excel when you say equal some parentheses all those fields it's just like that think about your layer having different attributes or different fields and arcade is built on top of JavaScript so you'll notice that the syntax does way it is similar there you could create variables the same way if if-else statement logic is very similar so that's a great question so this is a map that shows we want to make a map that shows commute alternatives so if you're not going to drive alone to work what's the most common are predominant this is a predominance map what's the most common way people are getting to work if they're not going to drive alone so the green areas people are if they're not going to drive alone they're most likely going to walk to work and we can click on the map and view see how drastic of a difference that is now let's see what the patterns are the blue areas are taking the bus red as carpooling yellow is biking and so I want to show you how to make a map like this so you go into smart mapping and then you simply click on the drop-down arrow and find the field that you're interested in so I'm interested in workers who carpooled and smart mapping is looking at the layer the the field you selected suggesting a way to draw it workers who biked it's do workers who walked and so on and so forth you can add up to ten different fields if you want more you can use arcade expressions to use as many fields as you want so here's just a really simple look just to show what predominance can do it automatically once you add three or more automatically rip chooses either predominance or relationship as the only Styles available to show three fields or more so we can show it as a polygon fill like we see here or we can choose predominant category and size so remember when I zoomed in and you saw those symbols of the people walking in the bus and they were all different sizes that's how I did it I went into here and change the size this way so you know like what Lisa said mean with average down for the bottom value and we move the top value we can zoom in to view better get a better view of the histogram and hit okay and so to change the actual symbols remember this it looks like the types one that I just showed predominance also works with the type your categories alright so that's all I want to show with predominance time yeah I'll bear with me I want to duplicate my screen there we go so again like I mentioned if you have a field that is a time field smart wrapping can help you also explore patterns in that way so again here we have we're in the smart mapping and these are building footprints in Rotterdam and there's a field in here called year built and so I'd be interested to learn about how old the structures are within this city so we can easily select your built and it's automatically going to recognize these are time fields and give me continuous time options and again that age options if I have a specific point in time I want to know how old something is but I'm gonna go ahead and explore what's going on in here by giving myself permission to click this button I'll say it a million times right now this map is a little hard to read because I want imagery but so I don't think this is the map I want quite yet so I can go into symbols and maybe try some of the other color ramps you know what might work well on imagery well so maybe a brighter color like a blue so I can quickly choose that okay I think we're getting there I see there's by default a lot of transparency on this layer I can take that off okay a pattern is starting to emerge I'm immediately seen these darker buildings are much newer and the lighter buildings are the older ones I'm immediately seeing a pattern on this side of the town you know by simply clicking the field and giving myself permission but what's interesting they find if you have some contextual information you can go even further so for this example something happened in Rotterdam on May 14 1940 and so that changed the landscape of the city so it'd be interesting to see what what that date in particular can tell us about this data I'm different let's explore that pattern so the same way we had hi to fames there's new to old and before and after four time fields so I can choose before and after and it's automatically going to Center this on the average year built date but I want to make this say May 14th 1949 we map has more meaning now I can immediately see anything in blue was built after that event that occurred and so those were things that might have been rebuilt or maybe that's the part of the city that was new and emerging and we can see pre-war was these green buildings and again that's a little hard to see so I'm gonna go ahead and go into symbols and choose something with a little bit more of a distinct pattern just to see if that pattern emerges a little bit more okay I know it's a little bright in this room and that might be a little hard to see but on my screen this is really interesting yeah let's we thank you for giving me permission to change the basemap but that was a good good point so now this is a little bit easier to read so here we go this is an iterative process again we spent a few minutes clicked a few buttons now we have a map that really has a pattern that's telling us something interesting about our data and that's one way to map explore your data with time now I'm going to show you relationship mapping so this used to be called bivariate mapping well I guess it still is called vivarium I mean um but this has been done for a long time and we have a teammate Eileen Buckley was an incredible cartographer and she told me oh it used to take me a week to build a bivariate map in arcmap you know you would have to process the data it kind of like she was saying with predominance you have to calculate the fields do all this stuff and then you hope there's a pattern right you get through that whole process and you hope there's a pattern in that data and if there's not so now this is literally clicks and you're gonna be able to compare two different attributes in your data and so here we have hurricane paths in the oceans and we immediately are seeing where they're going but it'd be interesting to explore factors that are relevant to hurricanes so I'm going to go into change style and I'm going to explore maybe the speed because it would make sense that hurricanes are strongest when they're the fastest when the wind speed is high so you know I'm not liking size I'll change this to color okay that's telling me something I see dark blue in the ocean that's that makes sense it's probably the strongest in the middle as it builds up get strong dies off you know maybe I don't like that ramp I'll try green instead that might be a little easier to read Mia I feel like I'm learning something about how speed and hurricanes are related I can also see how pressure is related because pressure is a distinct pattern that defines how strong a hurricane is and so by clicking this hurricanes are actually the strongest when the pressure is the lowest so in this case I chose to map it by color and I'm saying oh that's kind of a similar pattern to what speed was so relationship mapping can help me go oh those might have those are those related that would be interesting to see so I'm gonna go ahead and choose the speed and add a field and choose the pressure and it's going to offer me down here the relationship option and I can take click select and I immediately am seeing where the patterns are high and low where speed and pressure are related on this map but again we're not gonna take this default map this is not good enough we want this to be better and stronger we want to learn something new about this data and we can go into this interface to do that so in this case high and high is not the exact pattern that I want to sighs I actually want to see where speed is the highest and pressures the lowest so I actually want to emphasize hi-low patterns so this focus all this is doing if you watch the legend rotates it so that whoever your map audience is will immediately have their eyes drawn to the top value so they're gonna see oh that blue value is the area of interest that I want to see so just a small little thing we had a little bit knowledge about the data in this case and that can just help make the map a little bit more clear we can choose the grid size you can choose to do it by 2 by 2 3 by 3 or 4 by 4 we tend to use 3 by 3 because it it gives enough color in the map where it tells a clear story but sometimes 4 by 4 or 2 by 2 or can either be too many colors on the map or maybe you're you're not stratifying the data enough to show a really meaningful pattern so I like to stick to 3 by 3 and by default it does quantile and the reason for that is that quantile has historically been the method for bivariate mapping because it puts the most colors on the map and while this is a good way to explore the data we're gonna use a little bit of knowledge and put our own knowledge into this map to make it more meaningful I want to see where hurricanes are the strongest where they category 3 or higher I actually looked up on the NOAA website ok what wind and pressure is defined by what category it is and using those data values I'm gonna go back to my map and learn more about where these are hurricane stronger stronger than category 3 or more and to do that to change the map you simply drop this down and here's where we're gonna put in the numbers that are meaningful to us so I know that it's category 3 or above with speeds of 96 I have these written down by the way I don't have these memorized and it's a lower than category one with 64 so immediately it's a very small change but now this is a data-driven this is a knowledge driven map this is more meaningful than it was before because these numbers are based in science these are based from NOAA and again will do the same thing with pressure those numbers are in fact 980 and 950 and we quickly made this change and now we know that all the areas in blue those are the Hurricanes that were category 3 and that's where those and you can see where along the line the pressure was the lowest and the speed was the highest and so this is giving us more information but this map still isn't necessarily super clear so I want us to decipher this legend so you can go one step further and you can change how this is labeled you can say category three or higher strong hurricane and you can make it so that now when your map reader gets this they know what that blue value means and just small little changes like that can really help the impact of your map for your end reader because not everyone as a map reader not everyone can is a data nerd like us so that's a quick way to change that symbology the question was can you use an arcade expression to make it more like four by four or five by five and as far as I know the answer is no to that and correct me if I'm wrong it speak what I know is that arcade or this relationship mapping is actually built on in the background deep in the background is actually using an arcade statement but it's built just with these specifications three four and five but the truth is five a five by five that's a lot of colors in the map any more than 10 and our eyes start to struggle to decipher and so a rule of thumb if you notice with predominance mapping 10 was the max it's because as as humans we start to struggle to see see distinctions between ten so go ahead not do them do you not have permission to do that all right so the fun part no it's all fine uh yeah they're also arcane expressions lets you do many things and one simple example is unit conversions so if you were in any of my previous arcade expression demos I apologize for the repeat but I added an additional example that I haven't shown up that you see yet so just to change things up yeah so if we want to change this you know say for example you are in Berlin anyone here from outside the US yeah where you guys got a few where are you from you're any welcome yes I saw a hand over here yeah can I have a welcome well I'm guessing you guys use meters I'm not this is a live feed of the height of the stream and we have this data from the living Atlas all over the world but we had a lot of our customers saying we don't can we change the pop-up and before we couldn't well first of all it wasn't a feature layer now it is but now we have our cade and they can do it so I'll show you how to do that you go to configure pop-up and you add an attribute expression and here we see the expression builder and you can add a title this is what will be the title of your legend so height meters and then the Global's tab is where all the fields are in your lair so we've got our height somewhere over here and if we test it we can see that the height field is a number it could be a type string it could be type date or a number and the results so this is the dummy value say we made the dummy value 10 and then we did something in the Builder we said plus plus 10 for example then that makes it 20 so it's doing this all on the fly all in the browser if we multiply it by 0.3048 then that gives us it in meters hit OK and I'll add it to the pop-up so you can figure pop-up you can add fields in it and if you scroll to the very bottom of the field selection you'll see the expression that you created so this one is seven point zero five I hit OK and now it's shown as two point one five immediate unit conversion on the fly when the data updates in an hour that's going to update as well there's no hard coding required all right here's an example of change in forest area for the countries that did have data they're shown on the map and I want to show maybe you can show what the forest cover looked like in 2015 so there's a lot of forest cover here maybe we can use size you know we're just exploring the data and they can see it in 1990 however there isn't a field that has the the difference in the two values so before we would say can I the data making that can you make it you know can you make us be able to export it but now you don't have to do that we can add an expression here for the symbology so if you click on the attribute and scroll the very bottom and hit any expression we can create a variable called change and we'll select like 2015 - 1990 all right if you return change you see the difference but I want to show I want to create a statement that converts numbers into categories so when or if else you know if the change was greater than zero then there's a game in forest area when the change or the difference is less than zero there's a loss for all of our values for zero we say no or note we can even say no change okay all right so now we've just converted these numbers into meaningful categories the red areas had a gain in forest and the blue areas had a loss now I want to show this by size so to do color and size you have to add two attributes so the second attribute will be the difference and what's nice is it remembers everything you type so if you go to the existing tab and I think it's the this one that's the one we just did if I don't have to go and copy and paste it's already there for me but the difference is I want to just show the change or the the difference nope there's negative values I forgot to remove the negative values so the way we can do that is by looking at all the different functions that are available absolute value is one of them so right now you can go into here and say absolute value I've changed it okay and those negative values will disappear that's better and then later on you can go down and move this slider and maybe move this one up towards the average and get a better map like this so I went in and added different symbols so this is the final map that shows you know a different story of deforestation sometimes we hear the doom and gloom you know Brazil has experienced a 10% loss in forests but then you look over here in China and there is a 33% gain they both lost and gained the same amount and then there's the positive side of the story here in green so notice how also the pop-up color matched the symbol so red here green here if you can do that with arcade expressions as well so let's see what we did with that yeah so say here we've got percent increase so it returns the value and then we go into here and look at the HTML as a pop-up and instead of using a hex value it would say font the expressive expression so actually if you guys are familiar with ArcGIS blogs I actually have a blog that explains how to do that exact same thing so if you if you want to use that technique there's a blog that shows you how do you how to do what she just showed there's a lot of resources blogs videos articles so the last one I'll show you is scooter locations anyone ride a scooter here in San Diego see them all over the table last year and had a slow start I'm not riding a scooter this year so what I want to do is create an expression that looks at the battery level of these scooters and I want to go out and say let's let's create it real quick let's say battery no variable charge equals this battery level so in the dummy variable that it's a null value so we can change it to maybe ninety test it oh this is good so variable charge returns nothing because I just made a variable I didn't return anything we have to say charge underneath for some value to to come out now this is a string right so if I wanted to symbolize this by battery it's not going to recognize it as a number and we're gonna get types and that's very frustrating so the way we deal with that is by converting using our cade strings to numbers and vice versa so variable charge equals number function and if you're curious about the functions you know number you just could find it and then click on the eye and it tells you all about it another great thing is saying you want to maybe do a buffer it's you click on and it tells you what to fill in so it gives you instructions on how to use these functions okay so far our number of the battery and we return charge and we get a number type so very useful in many cases so when the charge is less than 50 we'll say charge immediately and then when the charge is greater than or equal to 50 or okay so then this means or the two lines going up and this means and so when it's better than 50 and it's less than 90 charge when possible and lastly fully charged all else fully charged and test it so if we move if we change the dummy value to like one percent battery it returns charged immediately so now we have the three different categories so I went in and changed the symbols so if you work for the city and you you're in charge of going around and charge charging these scooters you would know to go to these red ones first and then to the other ones later so before we move on to tips and tricks I'd like to give a big reveal of the new map viewer this is very very alpha this is my testing environment but when you get access to it you sign in and then it finds your we find a layer so we can add that County Health Rankings layer from the living Atlas all the app stuff is on the left side and then all the symbolization stuff is on the right side the county health you can change the base map to the dark gray dramatic let's see did the add there we go I like that I like this human geography base map because it puts the streets over your layers so if you had something like this you the counties on top but if you use the human geography dark or light face map now you have a better reference the roads and the labels are on top of your layer which is really nice and you can find the human geography base map in the living eyeless everything so every time there's also a blog about how to use it if you want to figure out how to build that into your own Maps there's a blog about the human geography basement yeah so in the new map here we support grouping layers so that's something a lot of people have been asking for and here's the change style so if we do something like own account of some sort see that's a good one maybe the obesity I don't fit in raise that adult obesity would be order I'm gonna bring that to back to the team I'm gonna find something interesting hmm teamwork drinking water violations maybe they aren't they aren't any hmm we're exploring right let's - oh here we go okay so we have dot density as a Nia drawing style so that's only available in pro right now and the only way to use it is by creating a pro and then publishing as a vector tiled cache so now we can do it in the new map viewer so I'll show that to you guys later because right now they're still developing it Oh ringing all right and then it's very similar to predominate so you can add multiple fields so say this flap does not make any sense I'm choosing random fields well let's just pick it just because it's a number and it has this blending option so once we get both on the screen they'll be red and then there'll be blue and when there's a pretty even number for both of them it's going to blend it and make it purple or if it's red and yellow it's going to blend it to make it Orange so right now this blue value it's a lot higher than the other one so you'd want to pick something like white Asian flag you know some things that are that are more related and life expectancy and premature death to not make something ready to show you guys and look up you can do some tips and tricks outside something cool yeah so um one tip that we like to emphasize a lot is an easy way to make your Maps more clear when you're working in smart mapping is to just please make those outlines not dark gray thick lines on your map because if you look at this map on the bottom left I'm looking a lot at the area in the middle because it's brown even though the values aren't really there's not really a pattern there this example just uses a lighter color this is like gray the pattern is starting to emerge starting to see a little bit more about this or be really bold get rid of those look at that pattern I was way more distinct than that bottom left one that bottom left one was like lines I see lines this one on the top is like oh look at the purple in that map that's a significant pattern that I might be interested in and on that topic of transparency transparency is a really effective way to make your Maps more clear if you do in fact want to see more about what's behind your map if you have terrain for example you know ads go ahead and try adding some transparency show that pattern behind use the data to your advantage use that base map to your advantage and you can also use data values to determine the transparency value so that Florida traffic example Jennifer showed in the beginning that is a technique where the highest average annual daily traffic values were emphasized because they had zero transparency but the lower values had more transparency so instead of a bunch of lines on a map you get the emphasis on those higher values and so you can use transparency as a way to also explore your data in that interface you'll you'll also get the the histogram and this tip she tried she stole from me this is the human geography based map when you find these three layers in the living out lists you'll find them as three layers base detail and labels so usually base maps are essentially the base and then the labels end up on top of your data when you but when you throw these into your map layer them base detail label but make the detail on the label reference layers and they'll end up on top of your map so if you're making a choropleth map like she was showing you can now see reference for like freeways in buildings and this is a really easy way to add context to your map that can help people understand what they're seeing because most people want to know well where's the 10 freeway I know where I live because I live next to sorry up at you people in Northern California would say 10 freeway not the 10 freeway and so that's just a really quick way to show that Jennifer has found a more interesting example we can show you know white population and the Asian population for example in San Francisco and here each dot represents 20 people or we can slide the slider over 1 equals one person probably wouldn't do that right now the red is on top of the blue but if we turn on blending then we see where there's a mix of both white and Asian populations and we can also add more and add the black African populate african-american population and we can again do up to 10 different categories and there's lots of nice colors to choose from yeah like the blue and the yellow so this is a very very excited about this and then the last part that's new is this filtering option so say we want to filter total populations in that block is greater than now we have a histogram and instead of creating the filter and hitting OK and making it looking at the map right now it's all done in in this view automatically on the fly that's cool yeah all right and I know that we're we're wrapping up the timewise and so we're gonna end with there are a lot of resources out there if you go to the smart mapping website if you just google the term ESRI smart mapping and there's a ton of resources on there we of a whole set of story maps called had a smart map and these are kind of step-by-step tutorials about how you might use these methods that we showed you today how you might explore your data using the different color size color and size you know so on and so forth I think there's one for every single one of them so depending on what you want to map these story map tutorials are extremely helpful also please feel free to explore the blogs again will say a lot is this is a chance for as re-employ ease to share with you guys you know hey this is how I would do it here's some you know this is here's some information that I think you might know or want to know and so the blogs are full of really valuable stuff and so if you just type in the first smart mapping you'll actually get a ton of different things I even have a blog that I wrote called six easy ways to improve your maps the very first tip I'm pretty sure is make your outlines thinner if you that's that's a fun one to just explore really really small things that you can do to change your map that can make the impact of your map a lot more learn is calm learn lesson no on smart mapping that's another great one step by step instructions and on how to do it and so when these proceedings come out you will be active and be able to actually click those links they realize no this is not very helpful to you but um so this is something you know when you guys have gone home and digested checks check out some of these resources definitely please give us your feedback on the app we are always looking to improve the the conference and our presentations if there was something that we didn't show that you thought we might be showing or you'd like to see let us know if you thought we didn't awesome job also let us know because we really do go back and read these and we appreciate your feedback and I know that we are two minutes over now so it are there any burning questions so the question was so now that we were given permission to explore and smart mapping in ArcGIS online what if you have to print that map that's a great question I know that the technique that I would probably use is to explore the data and smart mapping in ArcGIS online and then because ArcGIS online and pro are friends you can then open that web map in pro and you should be able to have all of your your normal print options for sizing and whatnot that's what I would do we use Pro to do the screenshots for the maps of the plan area that was that you saw in the background and we did like 40 feet by 40 feet exports that took all weekend to export it like it can be as big as you need it'll be very clear yeah great question so the question was when are the mapping styles the newer ones like relationship mapping I'm going to be an enterprise and my understanding is that it should already be there 10:7 yes then these are close behind all right gray jacket uh-huh so the question was if I have a bunch of districts and a map how do I make it focused to my district if I'm mapping something like tapestry filters are a really good way to to do that I'm do you have any suggestion a spatial filter what you can do is you can go into the analysis tools and run an analysis and it'll create a new layer that's specific to an area it's not necessarily exactly a spatial selection but it's an analysis tool that will essentially do the same thing I think it's called don't quote me because I don't actually know exactly what's called it's not called that but yeah you can essentially do something along those lines as far as I know yeah what I like to do is add the tapestry layer underneath and then on top create my own mask using a different layer like a county layer and use the filters and show all counties except for the one that you're interested in will be a hole in the map and you'll see it'll be a window into the tapestry beneath so that's a great idea we're all helping each other oh yeah Sophie's the question was sorry for the the recording the question was how do i how do I post my own symbols to arcgis online and SE you add an item from your computer and you choose the file so any image file will do and then yeah just so that PNG jpg thanks too much you call it as the URL so when you publish this yeah so when you're in smart mapping you actually there's you add symbol when you're in the interface there's a spot to put the URL and you just paste it right there yes it'll be on the item description page for the item and it has to be shared so once you share it at the bottom right it'll say URL and you can just copy that yes any more burning questions what about it what do you think a win when is the new Buffy are going to be released our goal is this September for beta release and then hopefully by next year will be completely general general availability but it could be November depending on you know we're all going on vacation after do you see mm-hmm that's why it's so fast and very responsive and clear and that's why we can change the vector symbols in the mark and the symbols great question this is where you would share the image that you uploaded and at the bottom there's the URL you can copy and paste yeah any other questions all right guys have a great time at the party thank you for joining us at AZ where you see

Channel: Esri Events

Views: 2,574

Rating: 5 out of 5

Keywords: Esri, ArcGIS, GIS, Esri Events, Geographic Information System, Technical Workshop, UC, ArcGIS Online, Smart Mapping, Arcade, Web GIS Online, Thematic Render, Predominance, Relationship Maps

Id: klzgJbI84QQ

Length: 67min 33sec (4053 seconds)

Published: Wed Jul 31 2019