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Service Description: The primary purpose of this forecast is to support Travel Demand Modeling which is used in Regional Transportation Planning. H-GAC also uses the forecast for other long range planning purposes. Our forecasting model is built for one-thousand by one-thousand foot grid cells. This gives us the flexibility to deliver the Forecast in various geographic units, such as Regional Analysis Zones, Census Tracts, or other geographies that are meaningful to the users. The Forecast is developed in two phases. During Phase I, we use a trends-based model to forecast total population and employment for each county. During Phase II, we use UrbanSim Land Use Forecasting Model to determine the distribution of population and employment within each county. A .pdf describing the growth model in further detail can be found at:
http://www.h-gac.com/community/socioeconomic/forecasts/archive/documents/2035_regional_growth_forecast.pdf.
Map Name: Layers
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Layers:
Description:
Copyright Text: H-GAC: prepared by HCPID - A&E
Spatial Reference:
102740
(2278)
Single Fused Map Cache: true
Tile Info:
- Height: 256
- Width: 256
- DPI: 96
-
Levels of Detail: 5
- Format: PNG
- Compression Quality: 0.0
- Origin: X: -1.267257E8
Y: 1.795596E8
- Spatial Reference: 102740
(2278)
Initial Extent:
XMin: 2553521.6810158715
YMin: 1.367944765415173E7
XMax: 3726639.3594118766
YMax: 1.4214317400240332E7
Spatial Reference: 102740
(2278)
Full Extent:
XMin: 2856086.7499501407
YMin: 1.3480413999973148E7
XMax: 3447446.7499705553
YMax: 1.4156253999996483E7
Spatial Reference: 102740
(2278)
Units: esriFeet
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Population 2035
Author: JC Brown
Comments: The primary purpose of this forecast is to support Travel Demand Modeling which is used in Regional Transportation Planning. H-GAC also uses the forecast for other long range planning purposes. Our forecasting model is built for one-thousand by one-thousand foot grid cells. This gives us the flexibility to deliver the Forecast in various geographic units, such as Regional Analysis Zones, Census Tracts, or other geographies that are meaningful to the users. The Forecast is developed in two phases. During Phase I, we use a trends-based model to forecast total population and employment for each county. During Phase II, we use UrbanSim Land Use Forecasting Model to determine the distribution of population and employment within each county. A .pdf describing the growth model in further detail can be found at:
http://www.h-gac.com/community/socioeconomic/forecasts/archive/documents/2035_regional_growth_forecast.pdf.
Subject: This layer is a projection of population in 2035 based on a model developed by H-GAC. This data was prepared by HCPID - A&E.
Category:
Keywords: Demographics,Map Services
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 1000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON
Supports Query Data Elements:
Min Scale: 2000000
Max Scale: 125000
Min LOD: 0
Max LOD: 4
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
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