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Variables Details
: (EM-654)
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EM Identity and Description
| EM-654 | |
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Document Author
variable.detail.emDocumentAuthorHelp
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Qiu, J. and M. G. Turner |
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Document Year
variable.detail.emDocumentYearHelp
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2013 |
Variable General Info
Area (forest) ?Comment:We first extracted and aggregated all forest cover from the NLCD land use/cover data and calculated the area of each forest patch. |
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. |
Proximity to population centers ?Comment:To quantify proximity to population centers, we created a population density layer with 500-m spatial resolution based on the US Census tract-level resident population data for 2000, by using a moving window analysis that summed the population density of tracts having their centers within 10 km of each grid cell. We also used Jenks algorithm to classify the population density layer into 10 natural breaks, then weighted these values to the range of 0–40. |
Recreational opportunities ?Comment:We determined the number of recreational opportunities within major forested areas from Dane County Parks Division (70), which provided detailed information about nature trails, picnic areas, mountain biking opportunities, etc. for major parks and wilderness areas. |
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Variable ID
variable.detail.varIdHelp
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15358 | 15361 | 15360 | 15359 |
| Ai | Roadi | Popi | Oppti | |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) | Qualitative (Class, Rating or Ranking) | Qualitative (Class, Rating or Ranking) |
Qualitative (Class, Rating or Ranking) ?Comment:We classified the number of recreational opportunities into 10 natural breaks using Jenks optimization and rescaled it to a range from 0 to 40. For other small, forested areas that lack information about recreational features, we conservatively assumed that these areas at least could provide basic recreation opportunities, such as hiking or bird watching, and we assigned them a value of 5. |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Cardinal | Ordinal | Ordinal | Ordinal |
| Not reported | Not applicable | Not applicable | Not applicable |
Variable Typology
Area (forest) ?Comment:We first extracted and aggregated all forest cover from the NLCD land use/cover data and calculated the area of each forest patch. |
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. |
Proximity to population centers ?Comment:To quantify proximity to population centers, we created a population density layer with 500-m spatial resolution based on the US Census tract-level resident population data for 2000, by using a moving window analysis that summed the population density of tracts having their centers within 10 km of each grid cell. We also used Jenks algorithm to classify the population density layer into 10 natural breaks, then weighted these values to the range of 0–40. |
Recreational opportunities ?Comment:We determined the number of recreational opportunities within major forested areas from Dane County Parks Division (70), which provided detailed information about nature trails, picnic areas, mountain biking opportunities, etc. for major parks and wilderness areas. |
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Predictor-Intermediate-Response
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Predictor |
Predictor |
Predictor |
Predictor |
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Predictor Variable Type
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Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
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Response Variable Type
variable.detail.resClassHelp
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Not applicable | Not applicable | Not applicable | Not applicable |
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Data Source/Type
variable.detail.dataTypeHelp
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Map or database (e.g., wide coverage, wide availability, measured or modeled) | Map or database (e.g., wide coverage, wide availability, measured or modeled) | Map or database (e.g., wide coverage, wide availability, measured or modeled) | Map or database (e.g., wide coverage, wide availability, measured or modeled) |
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Variable Classification Hierarchy
variable.detail.vchLevel1Help
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2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production |
3. Human Demographic Data |
6. Non-monetary Indicators of Human Demand, Use or Benefit of Ecosystem Goods and Services |
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--Geographic position, horizontal or vertical |
--Nonnatural structures associated with ecosystem access, enhancement, restoration or water storage |
--Population number, density and growth |
--Demand for or use of cultural services-Physical and intellectual interactions with ecosystem |
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----Other, multiple, unspecified or unclear |
----Nonnatural structures associated with ecosystem access by humans (e.g., boat launch) |
----Physical use of land-/seascapes in different environmental settings |
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Variable Spatial Characteristics
Area (forest) ?Comment:We first extracted and aggregated all forest cover from the NLCD land use/cover data and calculated the area of each forest patch. |
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. |
Proximity to population centers ?Comment:To quantify proximity to population centers, we created a population density layer with 500-m spatial resolution based on the US Census tract-level resident population data for 2000, by using a moving window analysis that summed the population density of tracts having their centers within 10 km of each grid cell. We also used Jenks algorithm to classify the population density layer into 10 natural breaks, then weighted these values to the range of 0–40. |
Recreational opportunities ?Comment:We determined the number of recreational opportunities within major forested areas from Dane County Parks Division (70), which provided detailed information about nature trails, picnic areas, mountain biking opportunities, etc. for major parks and wilderness areas. |
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Spatial Extent Area
variable.detail.spExtentHelp
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1000-10,000 km^2. | 1000-10,000 km^2. | 1000-10,000 km^2. | 1000-10,000 km^2. |
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Spatially Distributed?
variable.detail.spDistributedHelp
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Yes | Yes | Yes | Yes |
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Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Yes | Yes | Yes | Yes |
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Spatial Grain Type
variable.detail.spGrainTypeHelp
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area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature |
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Spatial Grain Size
variable.detail.spGrainSizeHelp
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30m x 30m | 30m x 30m | 500m x 500m | 30m x 30m |
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Spatial Density
variable.detail.spDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Dasymetric Allocation of Population |
Variable Temporal Characteristics
Area (forest) ?Comment:We first extracted and aggregated all forest cover from the NLCD land use/cover data and calculated the area of each forest patch. |
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. |
Proximity to population centers ?Comment:To quantify proximity to population centers, we created a population density layer with 500-m spatial resolution based on the US Census tract-level resident population data for 2000, by using a moving window analysis that summed the population density of tracts having their centers within 10 km of each grid cell. We also used Jenks algorithm to classify the population density layer into 10 natural breaks, then weighted these values to the range of 0–40. |
Recreational opportunities ?Comment:We determined the number of recreational opportunities within major forested areas from Dane County Parks Division (70), which provided detailed information about nature trails, picnic areas, mountain biking opportunities, etc. for major parks and wilderness areas. |
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Temporal Extent
variable.detail.tempExtentHelp
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2006 | 2006 | 2000 | 2006 |
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Temporally Distributed?
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Not applicable | Not applicable | Not applicable | Not applicable |
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Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Not applicable | Not applicable | Not applicable | Not applicable |
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Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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Not applicable | Not applicable | Not applicable | Not applicable |
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Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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Not applicable | Not applicable | Not applicable | Not applicable |
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Temporal Density
variable.detail.tempDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable |
Variable Values
Area (forest) ?Comment:We first extracted and aggregated all forest cover from the NLCD land use/cover data and calculated the area of each forest patch. |
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. |
Proximity to population centers ?Comment:To quantify proximity to population centers, we created a population density layer with 500-m spatial resolution based on the US Census tract-level resident population data for 2000, by using a moving window analysis that summed the population density of tracts having their centers within 10 km of each grid cell. We also used Jenks algorithm to classify the population density layer into 10 natural breaks, then weighted these values to the range of 0–40. |
Recreational opportunities ?Comment:We determined the number of recreational opportunities within major forested areas from Dane County Parks Division (70), which provided detailed information about nature trails, picnic areas, mountain biking opportunities, etc. for major parks and wilderness areas. |
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| Not reported | Not applicable | Not applicable | Not applicable | |
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Min Value
variable.detail.minEstHelp
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Not reported | Not applicable | Not applicable | Not applicable |
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Max Value
variable.detail.estHelp
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Not reported | Not applicable | Not applicable | Not applicable |
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Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable | Not applicable | Not applicable | Not applicable |
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Other Value
variable.detail.otherEstHelp
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Not reported | Not applicable | Not applicable | Not applicable |
Variable Variability and Sensitivity
Area (forest) ?Comment:We first extracted and aggregated all forest cover from the NLCD land use/cover data and calculated the area of each forest patch. |
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. |
Proximity to population centers ?Comment:To quantify proximity to population centers, we created a population density layer with 500-m spatial resolution based on the US Census tract-level resident population data for 2000, by using a moving window analysis that summed the population density of tracts having their centers within 10 km of each grid cell. We also used Jenks algorithm to classify the population density layer into 10 natural breaks, then weighted these values to the range of 0–40. |
Recreational opportunities ?Comment:We determined the number of recreational opportunities within major forested areas from Dane County Parks Division (70), which provided detailed information about nature trails, picnic areas, mountain biking opportunities, etc. for major parks and wilderness areas. |
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Variability Expression Given?
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No | No | No | No |
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Variability Metric
variable.detail.variabilityMetricHelp
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None | None | None | None |
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Variability Value
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None | None | None | None |
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Variability Units
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None | None | None | None |
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Resampling Used?
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Not applicable | Not applicable | Not applicable | Not applicable |
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Variability Expression Used in Modeling?
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Not applicable | Not applicable | Not applicable | Not applicable |
Variable Operational Validation (Response Variables only)
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Variable ID
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Validated?
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Validation Approach (within, between, etc.)
variable.detail.validationApproachHelp
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Validation Quality (Qual/Quant)
variable.detail.validationQualityHelp
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Validation Method (Stat/Deviance)
variable.detail.validationMethodHelp
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Validation Metric
variable.detail.validationMetricHelp
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Validation Value
variable.detail.validationValHelp
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Validation Units
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Use of Measured Response Data
variable.detail.measuredResponseDataHelp
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