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An Intro to Analysis in ArcGIS Pro - Smart Analytics - Esri UK Annual Conference 2017
This document provides an overview of crime analysis tools and techniques in ArcGIS Pro including symbology, geoprocessing, model builder, and network analysis. It also summarizes methods for analyzing crime data through statistics, thematic mapping of burglary and other crimes, and a vulnerable localities index based on factors like employment, income, education, and youth populations. Resources for getting started with ArcGIS Pro and geoprocessing are also referenced.
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- 1. • Click toedit Master text styles - Second level - Third level Intro to Analysis in ArcGIS Pro Emma Chan Dave Tong
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- 3. • Click toedit Master text styles - Second level - Third level Crime Counts Summary Statistics Pivot JoinCrime data Geography Output
- 4. • Click toedit Master text styles - Second level - Third level Vulnerable Localities Index Employment deprivation Income deprivation Educational attainment Young people Burglary Criminal Damage 6 Based on research from UCL Jill Dando Institute
- 5. • Click toedit Master text styles - Second level - Third level Crime Analysis - Summary Thematic map for burglary Thematic map for any crime Vulnerable localities index Based on crime, IMD and census data
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- 7. • Click toedit Master text styles - Second level - Third level Resources • Get started with ArcGIS Pro • http://learn.arcgis.com/en/projects/get-started-with-arcgis-pro/ • Get started with Geoprocessing • http://pro.arcgis.com/en/pro-app/get-started/use-geoprocessing-tools.htm • Vulnerable Localities • http://www.ucl.ac.uk/jdibrief/analysis/Vulnerable-Localities-Index
- 8. • Click toedit Master text styles - Second level - Third level
Editor's Notes
- #10 NetCDF (network Common Data Form) is a file format for storing multidimensional scientific data (variables) such as temperature, humidity, pressure, wind speed, and direction. Each of these variables can be displayed through a dimension (such as time) in ArcGIS by making a layer or table view from the netCDF file. Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or low values as well as outliers that have values that are statistically different than their neighbors in space and time