Suitability Analysis using Model Builder ArcGIS 10

welcome back and today I'm going to show you how to develop a model suitability model using model builder and this model should be able to do suitability analysis for the location of a windmill now the final output should be something that appears like this and as you can see this one has already been completed and it has been run so I just want to show you the stages involved in developing this model and what you need to do to get there okay so first off you need data that means having known the criteria you're going to use you quickly look for the data and in this case the criteria require requires that the suitable site should be located 750 metres from any building it should be located 300 metres from any rod it should be located at least 250 metres from any marshland it should be located at least 250 metres from any large water body like a lake and it should be also located at least 200 metres from any rivers in the area so having known this quickly you should know that you need a data set for rivers it add a set for roads one for buildings one for marshland and one for the rods so and that's what I have in this I've loaded these five layers already into ad map and to be able to develop a model I have also identified this the tools that I'm going to need and the stages I'm going to have to go through for each of the criteria and then in the end I'll combine these criteria and come out with one output which should show me suitable the most suitable site for windmill location so what I have done already to save time is to create a tool box in my folder that I'm going to use for my outputs I've created a folder on the on the desktop of call it analysis and inside I have named inside the folder I have put all the data that I'm going to need and of course this data comes from planners who have already even in pointed some proposed locations for for windmills but they want to know which of these proposed sites is most suitable suitable I can rename this model so that we call it site selection site selection remember no spaces if you like and up and the slash underscore okay so that's the first thing we've done and now we can go ahead and open our model to start walking on it start building it it's quite a lengthy process but you have to be very patient and know exactly what you want to achieve such that you don't waste a lot of time for instance I know that I'm going to need to do multiple ring buffering for each of the criteria and so I will drop the multiple ring buffer tool into my model and after this I will need to do identity so that I can create the a geometric intersection for the features with what we shall begin with the rods make so what I'm going to do here is to just quickly run through all the stages not saying anything and then I'll just explain at the end of the process was is quite lengthy to do both Oh wannabe I have you take that because my to go Oh I know II wonder where did you know ha Oh yeah 20 Taiana Oh my Oh Oh so the Lord got you yeah Oh I Oh or oh yeah oh yeah I Oh Oh Oh Oh Oh whoa our third example you dig up that finally before the last criteria as buildings you guys should know everything suitable sites yeah what I'm doing here means that any location but he's located 750 meters away we'll give it a score of zero meaning that is the most suitable location and anything located up to zero meters from the side we give it a value 1 that means 2 is not suitable so any location that will score one will fall within the category of one it is not suitable that work will fall within the category that will be located another 50 meters for this site will be given the value 0 that means to be the most suitable site okay so why having only two measures for determining suitable site for the windmill using for this criteria and for all other criteria we are doing the same it's either suitable or not suitable nothing in between so give it that and there we are we have our all our five criteria catered for but there are some other things we need to do at this point and that is if we want this model to be used by other people then we are going to have to set some model parameters to allow other people to change this model modify it and use use it with an any other set of data but also we need to to make that possible we have to make sure this model stores relative pathnames as opposed to absolute names so we shall activate the function for it to store relative pathnames instead of absolute path so that people can easily change the path names or the putnams can easily be ethically identified by the system when someone uses a different set of data otherwise if you don't do this it will be asking for the original source of the original data that was used in the model and that would be a problem so this is good then one other thing like I was saying is to set model parameters and that means this could be areas where you expect someone to want to change the parameters of the values for instance in this case someone may use a different set of data and a different criteria and they will want to use maybe different distances from rivers so we make this a model parameter and then we shall also rename it so that it looks it makes more sense from where Y is going to use it so we can say input reverse distances so when someone sees this they can know that okay opt into input rivers river distances here we shall make this one also a model parameter and rename it to give it to make it more sensible and then we shall say input main roads distances then we can make this one also a model parameter and call it okay now that's not correct that is not correct why because this is the input input rivers data sets input revised data sets and this one the input main rods data sets okay this one is the input data in input water data set what data sets and this one is the input mash data set data sets you will see why this is very important of course you don't forget to make it a model parameter very important and this one also make it a model parameter and rename it to read input buildings data cells now there is one other thing we have to do for each of these study area here we make this one also a model parameter and rename it to read input study area datasets okay there is one step missing here for the water or mush mush area one two three four five yes there is once okay what's my process right here all right it's just the icy yeah everything is fine so there's one other thing we are going to do and that is to make these variables and this one will be variable for the distances of course all of them are going to be distance variables so I need to be able to rename this and say these are the input inputs River distances input River distances make this one also a variable for distances and we shall call it first of all make it a model parameter make this one also a model parameter then rename this one to inputs marsh distances then we shall also make the building distances parameter and rename this to building distances clink usings distances then do the same for the water make it variable then make it model parameter and rename it in put water distances and find out when you do the same for the main rods make this a variable model parameter then make it a variable in the model and that means you can now rename this one as input input Rob's distances so then we can rearrange our model and that's what we get now remember we have just then if you just complete a completed some of the preliminary steps but we are looking for one final output to which we should be able to get so we're going to now punch in bring in the weighted sum the weighted sum tool we should be able to help us so we'll find the the tool for weighted son under the overlay toolbox in the spatial analysis tools and this one should now enable us to drop in all the output rosters for the five criteria so we shall begin with the one at the top most that is the reclassified feature one I will go to reclassified feature too then we shall go to the reclassified feature three then go to reclassified feature four and finally they reclassified feature files now these are called reclassify because we haven't renamed them in the model and this could be a bit problematic to know which is which so that means we have to go and rename these outputs so this is it's 17 hours okay so we know that this is the output for buildings so which I rename it as so which I rename all of these ones to make them look sensible so we shall now link this one criterion buildings mastery solution one meter then we will name this one criterion water just a resolution one beta then which I rename this one criterion main roads interior roads rasterization one meter rename this one criterion mush mastery solution one meter and then this one criterion river revised master resolution one meter so these make more sense then the names before so now we can calc wickley know which one to to add from here we start with rivers then we go to roads and then go to water then we go to mush and finally buildings so the weighted value for each of these is one meter but remember it's supposed to be a decimal value but let's try with weighted sum of an absolute figure and see what happens okay so there we go we have a weighted sum output right here and it is being called weighted reclass but from of initial assignment we know that this is the final output we are getting therefore shall just name it suitable locations and editor so at this point you're almost getting to your final output but we are not yet there we are not there yet why because this one is a model parameter rather being the final output you would like to add this one to your display in arcmap and also you probably want to make it a model parameter why because someone may want to change something about the model parameter rather they the the output could be a name or week whatever so at this point you've reached a stage where you can actually run your model and take a look at your outputs and see what you have so let's see if this model is ready to be run I guess not quite because we haven't yet made this one a model variable let's see a parameter and safe always remember to save alright so let's see let's run the model and see what we get if it will be the result we've been looking for so we ran the entire model run it would take some time for results to to come out but you've got to be patient I think this happens so like I was saying you will not get a result if this is not a decimal so we wanna make this decimal because it has to be this more value it's just a standard rule from the output if we overlay the proposed windmill sites we can quickly see which of these ones for a design with the lowest value which are the darkest zones and those will be our most suitable locations for a windmill but there is one more step you can do to even assign values to these points values from the raster to these points and be able to label them and even symbolize them to show which ones are more suitable than others so we shall just add one more - which is the extraction tool to extract values from this raster and have them added to the windmill locations from the plan and then run and see what happens

Channel: HEO UGANDA

Views: 55,475

Rating: 4.823009 out of 5

Keywords: Model Builder, Site Selection, ArcGIS 10.1, ArcGIS, ArcGIS 10, ArcGIS 10 GUI, Spatial Analysis, Spatial Analyst, EIA GIS, wanasolo, Guga

Id: ItZHK3WemWE

Length: 40min 21sec (2421 seconds)

Published: Tue Dec 04 2012