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Chicago_Housing_Density (Map Service)


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Current Version: 10.81

Service Description: Residential landuse for the city is shown, expressed as housing density. Housing density is divided into three categories: high, medium, low. Generally the data provided by each city had a code or an indicator such as "residential high density." Generally, no numeric value determined the density, rather an indicator of housing zones or actual building type identified the housing type, and thus the density. In Chicago, US Census Bureau data for Total Households was normalized by the land area in square miles to determine the housing density. The order of operations where as follows: 1. Use the Total Households from US Census Bureau data by block dataset 2. Clip out the Urban area and known industrial areas to create a residential pattern 3. Calculate the housing density by normalizing the total households by a land area field 4. Separate the values into three classes (Jenks) in this case (make sure it is roughly the same breakpoints as in other cities that use a calculation) 5. Identify the building footprints in each class

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Layers: Tables: Description: Residential landuse for the city is shown, expressed as housing density. Housing density is divided into three categories: high, medium, low. Generally the data provided by each city had a code or an indicator such as "residential high density." Generally, no numeric value determined the density, rather an indicator of housing zones or actual building type identified the housing type, and thus the density. In Chicago, US Census Bureau data for Total Households was normalized by the land area in square miles to determine the housing density. The order of operations where as follows: 1. Use the Total Households from US Census Bureau data by block dataset 2. Clip out the Urban area and known industrial areas to create a residential pattern 3. Calculate the housing density by normalizing the total households by a land area field 4. Separate the values into three classes (Jenks) in this case (make sure it is roughly the same breakpoints as in other cities that use a calculation) 5. Identify the building footprints in each class

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Spatial Reference:
102100

Single Fused Map Cache: true

Capabilities: Map,TilesOnly

Tile Info:
Initial Extent:
Full Extent:
Min Scale: 2311162.217155
Max Scale: 9027.977411

Min LOD: 8
Max LOD: 16

Units: esriMeters

Supported Image Format Types: PNG

Export Tiles Allowed: false
Max Export Tiles Count: 100000

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