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Service Description: This raster shows the difference between Community Criteria - Voter Turn-out and Community Criteria - Equal focus; the higher the value, the greater the difference. Voter Turn-out was given a greater weight (.5) compared to Growth-rate (.25) and Diversity Index (.25) in creating this raster.Growth-rate data was defined by the 2010-2020 annual compound rate of change in population using Census data and compiled by Esri at the census tract level. Voter Turn-out data is defined by the % of the voting population that cast a ballot in the 2016 presidential election by state county geography. Diversity Index, demographic data created by Esri, ranks the likelihood that two persons belong to difference race or ethnic group using the census tract geographyThis raster will be used to compare the differences between different weight options to determine the best Priority Community Criteria combination to use for the final product.Published as part of the Grassroots Organizer spatial analysis project.
Name: Voices_Campaign/WO_PC_3_diff
Description: This raster shows the difference between Community Criteria - Voter Turn-out and Community Criteria - Equal focus; the higher the value, the greater the difference. Voter Turn-out was given a greater weight (.5) compared to Growth-rate (.25) and Diversity Index (.25) in creating this raster.Growth-rate data was defined by the 2010-2020 annual compound rate of change in population using Census data and compiled by Esri at the census tract level. Voter Turn-out data is defined by the % of the voting population that cast a ballot in the 2016 presidential election by state county geography. Diversity Index, demographic data created by Esri, ranks the likelihood that two persons belong to difference race or ethnic group using the census tract geographyThis raster will be used to compare the differences between different weight options to determine the best Priority Community Criteria combination to use for the final product.Published as part of the Grassroots Organizer spatial analysis project.
Single Fused Map Cache: false
Extent:
XMin: -276778.6673999997
YMin: 4045386.8006999996
XMax: 764131.3326000003
YMax: 4985486.8007
Spatial Reference: 26918
(26918)
Initial Extent:
XMin: -276778.6673999997
YMin: 4045386.8006999996
XMax: 764131.3326000003
YMax: 4985486.8007
Spatial Reference: 26918
(26918)
Full Extent:
XMin: -276778.6673999997
YMin: 4045386.8006999996
XMax: 764131.3326000003
YMax: 4985486.8007
Spatial Reference: 26918
(26918)
Pixel Size X: 10.0
Pixel Size Y: 10.0
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "",
"help": ""
}]}
Mensuration Capabilities: Basic
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: Created by M. Finch (CBF | 2020).
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: -0.10652279853820801
Max Values: 0.10980892181396484
Mean Values: 0.011245488776904377
Standard Deviation Values: 0.02697746866579245
Object ID Field:
Fields:
None
Default Mosaic Method: Center
Allowed Mosaic Methods:
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: null
Max Image Height: 4100
Max Image Width: 15000
Max Download Image Count: null
Max Mosaic Image Count: null
Allow Raster Function: true
Allow Compute TiePoints: false
Supports Statistics: false
Supports Advanced Queries: false
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Histograms
Key Properties
Legend
rasterFunctionInfos
Supported Operations:
Export Image
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Validate
Project