Spatial Analysis with ArcGIS Pro

understanding how places are related as one of the first principles of spatial analysis for my study today I want to understand the accessibility between primary schools and residential households in my city in an ideal livable city we should encourage more use of public transportation this public transportation data is made available and an open data format called general transit feed service or GTO fees for short there are new GTFS tools an RTS Pro which allow me to create my own public transportation network that I can use to help analyze accessibility between any location and Christchurch for instance I can create service areas which indicate travel time across the city using scheduled bus routes for anytime throughout the day from the analysis tab there are a suite of more advanced tools which uses my new public transport network to solve more location-based questions the closest facility tool can help me perform a bulk analysis and determine the travel time from any location to the most accessible primary school using my public transport network and the tool we import all of our primary schools as the facilities that we want to travel to and import their households as the incidence and these act as the locations that we want to travel from most importantly we can run this analysis to simulate a specific arrival time of 8:45 a.m. and this will ensure that the correct bus timetable will be assessed to make sure that we get to school on time once run what the tool will do is determine what the most accessible school is for each of my households and how long it takes to get to that school using my public transport network let me share with you the results of this analysis what we initially see is the clustering of households and different colors and each one of these clusters represents which school is the most accessible to each address north current school for example as the most accessible school to all of these households shown and read the results of the closest facility analysis also give us travel time the time it takes to get to each of these schools using the bus network the darker purple colors represent relatively longer travel times but what we start to see is how the public transport routes extend and shorten the travel time to each of these households this means that our public transport network is doing a good job what I found interesting though was the relationship between the results of my analysis and the primary school zones which I've added to my map from the Living endless school zones guarantee an enrollment for your child at a school based on your address after I ran the analysis to determine the most accessible school for each household there were two things that stood out to me immediately first some households like these orange ones are not even Anna's owned area but the school which is most accessible to them redwood school was a zoned school that means that they are not eligible for automatic enrolment to that school secondly some households like these ones and read our zone first school but that is not their most accessible school in fact if you live on the correct side of the street you have the luxury of being able to choose between two primary schools that you can automatically enroll in however neither of those schools are the most accessible these types of insights can only be found using spatial analysis there are many considerations that go into determining school zones simple considerations like school capacity and more complex ones like socio-economic indicators but we also know that school zones have all sorts of consequences think of the double grammar zone at Auckland school zones impact the desirability of one area over another in zoning eventually effects house prices and in turn changes the whole socio-economic make up of a community which in turn affects the decile rating of a school which determines how much funding the school actually kids it's complicated right but what I can tell you is that school zones in decile ratings are a location based problem and let me show you why what earth we fected public transportation and accessibility when designing potential school zones what we're looking at now a school zones based solely on walking or using public transport it's a hypothetical zoning scenario but these alternative zones allow every household an automatic enrollment to their most accessible school and these new school zones have different boundaries compared with the current day school zones and with that each school zone has a slightly different student catchment with a slightly different socioeconomic profile well thanks to dr. dan exeter and the team at the University of Auckland we've enriched our new school zones with demographic scores from the index of multiple people fashion because we've changed the demographic catchment of each school we need to reassess what the new decile rating could be one of the most powerful aspects of spatial analysis is production to determine what sneaks given a set of scenarios so how would these new school zones affect the diesel rating of our primary schools we can take advantage of a powerful spatial analysis tool in our JS program called forest based classification and regression and this tool uses supervised machine learning methods to help us train a model which understands which combinations of demographic variables contribute to a decile rating effectively we reverse engineer what that decelerating equation is first the tool will iterate through each of the explanatory variables employment income and housing scores and understand how each of them influences the decile rating for our existing schools the tool creates a summary chart which is where we can see that employment and housing scores are the most important and income and access have the least importance when determining the decile secondly an equation is built which is used to predict the desal for our new school zones with updated demographic data which gets loaded into the tool while I run the tool let's look at the results what we're looking at now is how the decile rating would change if school zones were based purely on public transport in walking time we can see based on our new school zones that some school details rating would rise while others would drop just based on new boundaries in demographic data alone a reminder though especially if you live in this area do not panic this is just hypothetical what this demonstration really shows is the importance of location using location-based data like a transportation network school locations and households together with spatial analysis included with RTI es we can reveal insights that you wouldn't otherwise be able to see

Channel: Eagle Technology New Zealand

Views: 1,965

Rating: 5 out of 5

Keywords: ArcGIS Pro, School Zones, Network Analyst, Spatial Analyst, Location, Location Based Data, ArcGIS, Maps, Data Science, Esri, Eagle Technology

Id: LXkcGSU4nDw

Length: 8min 2sec (482 seconds)

Published: Sun Sep 15 2019