EcoService Models Library (ESML)
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Variables Details
: (EM-654)
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EM Identity and Description
EM-654 | |
Document Author
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Qiu, J. and M. G. Turner |
Document Year
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2013 |
Variable General Info
Distance to major roads ?Comment:To quantify access, we obtained road data layer from topologically integrated geographic encoding and referencing (TIGER) of US Census Bureau (71) and performed a buffer analysis based on these road networks. We assumed that larger roads could provide more recreational access to more people for recreation, and we varied buffer distance according to road type: 2,000 m for highways and 500 m for other roads. Road buffers were then weighted to a scale ranging from 0 to 20 based on the square root of distance, with areas closer to roads assigned higher scores. |
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Variable ID
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15361 |
Roadi | |
Qualitative-Quantitative
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Qualitative (Class, Rating or Ranking) |
Cardinal-Ordinal
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Ordinal |
Not applicable |
Variable Typology
Distance to major roads ?Comment:To quantify access, we obtained road data layer from topologically integrated geographic encoding and referencing (TIGER) of US Census Bureau (71) and performed a buffer analysis based on these road networks. We assumed that larger roads could provide more recreational access to more people for recreation, and we varied buffer distance according to road type: 2,000 m for highways and 500 m for other roads. Road buffers were then weighted to a scale ranging from 0 to 20 based on the square root of distance, with areas closer to roads assigned higher scores. |
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Predictor-Intermediate-Response
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Predictor |
Predictor Variable Type
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Time- or Space-varying Variable |
Response Variable Type
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Not applicable |
Data Source/Type
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Map or database (e.g., wide coverage, wide availability, measured or modeled) |
Variable Classification Hierarchy
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4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production |
--Nonnatural structures associated with ecosystem access, enhancement, restoration or water storage |
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----Nonnatural structures associated with ecosystem access by humans (e.g., boat launch) |
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Variable Spatial Characteristics
Distance to major roads ?Comment:To quantify access, we obtained road data layer from topologically integrated geographic encoding and referencing (TIGER) of US Census Bureau (71) and performed a buffer analysis based on these road networks. We assumed that larger roads could provide more recreational access to more people for recreation, and we varied buffer distance according to road type: 2,000 m for highways and 500 m for other roads. Road buffers were then weighted to a scale ranging from 0 to 20 based on the square root of distance, with areas closer to roads assigned higher scores. |
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Spatial Extent Area
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1000-10,000 km^2. |
Spatially Distributed?
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Yes |
Observations Spatially Patterned?
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Yes |
Spatial Grain Type
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area, for pixel or radial feature |
Spatial Grain Size
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30m x 30m |
Spatial Density
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Not applicable |
EnviroAtlas URL
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Variable Temporal Characteristics
Distance to major roads ?Comment:To quantify access, we obtained road data layer from topologically integrated geographic encoding and referencing (TIGER) of US Census Bureau (71) and performed a buffer analysis based on these road networks. We assumed that larger roads could provide more recreational access to more people for recreation, and we varied buffer distance according to road type: 2,000 m for highways and 500 m for other roads. Road buffers were then weighted to a scale ranging from 0 to 20 based on the square root of distance, with areas closer to roads assigned higher scores. |
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Temporal Extent
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2006 |
Temporally Distributed?
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Not applicable |
Regular Temporal Grain?
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Not applicable |
Temporal Grain Size Value
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Not applicable |
Temporal Grain Size Units
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Not applicable |
Temporal Density
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Not applicable |
Variable Values
Distance to major roads ?Comment:To quantify access, we obtained road data layer from topologically integrated geographic encoding and referencing (TIGER) of US Census Bureau (71) and performed a buffer analysis based on these road networks. We assumed that larger roads could provide more recreational access to more people for recreation, and we varied buffer distance according to road type: 2,000 m for highways and 500 m for other roads. Road buffers were then weighted to a scale ranging from 0 to 20 based on the square root of distance, with areas closer to roads assigned higher scores. |
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Not applicable | |
Min Value
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Not applicable |
Max Value
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Not applicable |
Other Value Type
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Not applicable |
Other Value
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Not applicable |
Variable Variability and Sensitivity
Distance to major roads ?Comment:To quantify access, we obtained road data layer from topologically integrated geographic encoding and referencing (TIGER) of US Census Bureau (71) and performed a buffer analysis based on these road networks. We assumed that larger roads could provide more recreational access to more people for recreation, and we varied buffer distance according to road type: 2,000 m for highways and 500 m for other roads. Road buffers were then weighted to a scale ranging from 0 to 20 based on the square root of distance, with areas closer to roads assigned higher scores. |
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Variability Expression Given?
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No |
Variability Metric
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None |
Variability Value
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None |
Variability Units
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None |
Resampling Used?
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Not applicable |
Variability Expression Used in Modeling?
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Not applicable |
Variable Operational Validation (Response Variables only)
Variable ID
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Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
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Validation Method (Stat/Deviance)
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Validation Metric
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Validation Value
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Validation Units
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Use of Measured Response Data
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