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Service Description: Traffic density represents distance-decayed AADT volume in both directions from all roads (FCC1-FCC4) within the circular buffer. Traffic density is symmetric on both sides of each roadway and is computed as if the wind directions are uniformly distributed around the compass. The density values are computed using the ESRI density function using a kernel with a 300m search radius and 10m grid resolution. The results are virtually identical for locations on a diagonal equidistant between two intersecting roads each with 50,000 vehicles per day as those for one road at a the same distance with 100,000 vehicles/day. Traffic volume estimates were calculated from a southern California multi-year traffic dataset developed by Sonoma Technology, Inc. Traffic density files depicts traffic volumes for years 1995, 2000, 2005, 2010, and 2014. Traffic density with a 300m falloff function is scaled to represent distance decayed annual average vehicles per day. Created using ESRI ArcMAP v10.3.1. Projection: NAD_1983_UTM Zone_11N (meters).
Name: AirPollution_TrafficDensity/TrafficDensity_Yr2005_10m
Description: Traffic density represents distance-decayed AADT volume in both directions from all roads (FCC1-FCC4) within the circular buffer. Traffic density is symmetric on both sides of each roadway and is computed as if the wind directions are uniformly distributed around the compass. The density values are computed using the ESRI density function using a kernel with a 300m search radius and 10m grid resolution. The results are virtually identical for locations on a diagonal equidistant between two intersecting roads each with 50,000 vehicles per day as those for one road at a the same distance with 100,000 vehicles/day. Traffic volume estimates were calculated from a southern California multi-year traffic dataset developed by Sonoma Technology, Inc. Traffic density files depicts traffic volumes for years 1995, 2000, 2005, 2010, and 2014. Traffic density with a 300m falloff function is scaled to represent distance decayed annual average vehicles per day. Created using ESRI ArcMAP v10.3.1. Projection: NAD_1983_UTM Zone_11N (meters).
Single Fused Map Cache: false
Extent:
XMin: 107239.15969999973
YMin: 3600287.460500002
XMax: 763809.1596999997
YMax: 3969957.460500002
Spatial Reference: 26911
(26911)
Initial Extent:
XMin: 107239.15969999973
YMin: 3600287.460500002
XMax: 763809.1596999997
YMax: 3969957.460500002
Spatial Reference: 26911
(26911)
Full Extent:
XMin: 107239.15969999973
YMin: 3600287.460500002
XMax: 763809.1596999997
YMax: 3969957.460500002
Spatial Reference: 26911
(26911)
Pixel Size X: 10.0
Pixel Size Y: 10.0
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
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Mensuration Capabilities: Basic
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: Prepared for USC NIEHS by Bryan Penfold, Sonoma Technology, Inc., 11-2-2016 (bryan@sonomatech.com 707-665-9900). Shared as a map service for USC NIEHS by USC Spatial Sciences Institute, 2017.
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: -2.2049255596259115E-13
Max Values: 903664.4375
Mean Values: 1102.051551181923
Standard Deviation Values: 10407.876807456214
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 Copy: null
Allow Analysis: null
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
Raster Function Infos
Supported Operations:
Export Image
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Validate
Project