Created using ArcGIS Pro Geoprocessing tools (Create Space Time Cube, Emerging Hot Spot Analysis, and Enrich Layer) and the ArcGIS R Bridge. The EBest function, part of the spdep package was used to calculate an Empirical Bayes smoothed crime rate with 2016 population estimates. This procedure is presented as part of the R-ArcGIS Workflow Demo on GeoNet.Relative Burglary Risk is the natural log (Ln) of the kernel density of burglaries g(x) divided by the kernel density of households g(y) calculated using CrimeStat. Note: Ten months of burglary data (the minimum required) were used for this initial analysis. Also Note: These locations are one-half kilometer square polygons. It will be updated in the future as more data from the Albuquerque Police Department is obtained (see ABQ Data).Please see the web map for another similar way to present these results.More information at (http://www.unm.edu/~lspear/other_nm.html).
ParkScore maps show which areas of a city lie within a short walk of any park, and areas which are unserved by any park. The Trust for Public Land shares these key facts for Albuquerque on its ParkScore website:ParkScore: 65Park acreage: 27,438 acresPeople served per park acre: 20Oldest municipal park: Robinson Park, est. 1899Largest municipal park: Balloon Fiesta Park, 350 acresMost-visited municipal park: Balloon Fiesta ParkCity area: 116,051 acresMedian park size: 4.3 acresPark land as % of city area: 24.0 % Spending per resident: $58.03 Basketball Hoops per 10,000: 2.3Dog Parks per 100,000 Residents: 2.4Playgrounds per 10,000: 3.0Recreation / Senior Centers per 20,000 Residents: 1.1Population density: 4.7 per acreMore on the ParkScore methdology.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Created using ArcGIS Pro Geoprocessing tools (Create Space Time Cube, Emerging Hot Spot Analysis, and Enrich Layer) and the ArcGIS R Bridge. The EBest function, part of the spdep package was used to calculate an Empirical Bayes smoothed crime rate with 2016 population estimates. This procedure is presented as part of the R-ArcGIS Workflow Demo on GeoNet.Relative Burglary Risk is the natural log (Ln) of the kernel density of burglaries g(x) divided by the kernel density of households g(y) calculated using CrimeStat. Note: Ten months of burglary data (the minimum required) were used for this initial analysis. Also Note: These locations are one-half kilometer square polygons. It will be updated in the future as more data from the Albuquerque Police Department is obtained (see ABQ Data).Please see the web map for another similar way to present these results.More information at (http://www.unm.edu/~lspear/other_nm.html).