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EM-851: Modeling coastal vulnerability through space and time
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EM-851 | |
Document Author
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Hopper T. and M. S. Meixler |
Document Year
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2016 |
Distance from the shore point to the 10 m depth contour ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. |
Geomorphology exposure ?Comment:Geomorphology rankings were adopted using the ranking scheme suggested by the InVEST user guide. Also computed by stakeholder type. |
Natural habitats exposure ?Comment:Output metric encoded at the segment level representing exposure vulnerability due to the natural habitat. Also computed by stakeholder type. |
Relief exposure ?Comment:Relief rankings were assigned based on the average elevation of the land area within 5 km of each shore line segment in five equal bins of 20 percent each. Also computed by stakeholder type. |
Surge potential exposure ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. Also computed by stakeholder type. |
Wave exposure ?Comment:The model estimated the relative wave exposure of each shoreline segment by computing the maximum of the weighted average power of oceanic waves and locally wind-generated waves. Relative wave exposure values were re-ranked as a percentile and rankings of 1 to 5 were assigned to each shoreline segment based on binned percentile values of 20 percent each. Also computed by stakeholder type. |
Wind exposure ?Comment:Wind exposure for shoreline segments was computed by first dividing the 360 degrees compass rose into sixteen equiangular sectors. Then, for each sector, the average wind speed of the highest 10% wind speeds on record in each sector was multiplied by the fetch distance of that sector and by the percent of all wind speeds on record that blow in the direction of that sector. The values for all sectors of a shoreline segment were then summed and re-ranked as a percentile. |
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Variable ID
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20158 | 20163 | 20148 | 20144 | 20160 | 20155 | 20152 |
Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | |
Qualitative-Quantitative
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Quantitative (Cardinal Only) | Qualitative (Class, Rating or Ranking) | Qualitative (Class, Rating or Ranking) | Qualitative (Class, Rating or Ranking) | Qualitative (Class, Rating or Ranking) | Qualitative (Class, Rating or Ranking) | Qualitative (Class, Rating or Ranking) |
Cardinal-Ordinal
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Cardinal | Ordinal | Ordinal | Ordinal | Ordinal | Ordinal | Ordinal |
Not reported | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Distance from the shore point to the 10 m depth contour ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. |
Geomorphology exposure ?Comment:Geomorphology rankings were adopted using the ranking scheme suggested by the InVEST user guide. Also computed by stakeholder type. |
Natural habitats exposure ?Comment:Output metric encoded at the segment level representing exposure vulnerability due to the natural habitat. Also computed by stakeholder type. |
Relief exposure ?Comment:Relief rankings were assigned based on the average elevation of the land area within 5 km of each shore line segment in five equal bins of 20 percent each. Also computed by stakeholder type. |
Surge potential exposure ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. Also computed by stakeholder type. |
Wave exposure ?Comment:The model estimated the relative wave exposure of each shoreline segment by computing the maximum of the weighted average power of oceanic waves and locally wind-generated waves. Relative wave exposure values were re-ranked as a percentile and rankings of 1 to 5 were assigned to each shoreline segment based on binned percentile values of 20 percent each. Also computed by stakeholder type. |
Wind exposure ?Comment:Wind exposure for shoreline segments was computed by first dividing the 360 degrees compass rose into sixteen equiangular sectors. Then, for each sector, the average wind speed of the highest 10% wind speeds on record in each sector was multiplied by the fetch distance of that sector and by the percent of all wind speeds on record that blow in the direction of that sector. The values for all sectors of a shoreline segment were then summed and re-ranked as a percentile. |
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Predictor-Intermediate-Response
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Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Predictor Variable Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Response Variable Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Data Source/Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Classification Hierarchy
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N. Not classified |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
--Ecosystem- or landscape-level metrics or indices of ecological condition, rarity or vulnerability |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
--Geographic position, horizontal or vertical |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
--Ecosystem- or landscape-level metrics or indices of ecological condition, rarity or vulnerability |
--Ecosystem- or landscape-level metrics or indices of ecological condition, rarity or vulnerability |
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----Coastal/estuary/coral condition, rarity or vulnerability |
----Suitability to supply regulation & maintenance services-Mediation of flows |
----Elevation, altitude, bathymetry |
----Suitability to supply regulation & maintenance services-Mediation of flows |
----Coastal/estuary/coral condition, rarity or vulnerability |
----Coastal/estuary/coral condition, rarity or vulnerability |
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------Flood and storm protection |
------Flood and storm protection |
Distance from the shore point to the 10 m depth contour ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. |
Geomorphology exposure ?Comment:Geomorphology rankings were adopted using the ranking scheme suggested by the InVEST user guide. Also computed by stakeholder type. |
Natural habitats exposure ?Comment:Output metric encoded at the segment level representing exposure vulnerability due to the natural habitat. Also computed by stakeholder type. |
Relief exposure ?Comment:Relief rankings were assigned based on the average elevation of the land area within 5 km of each shore line segment in five equal bins of 20 percent each. Also computed by stakeholder type. |
Surge potential exposure ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. Also computed by stakeholder type. |
Wave exposure ?Comment:The model estimated the relative wave exposure of each shoreline segment by computing the maximum of the weighted average power of oceanic waves and locally wind-generated waves. Relative wave exposure values were re-ranked as a percentile and rankings of 1 to 5 were assigned to each shoreline segment based on binned percentile values of 20 percent each. Also computed by stakeholder type. |
Wind exposure ?Comment:Wind exposure for shoreline segments was computed by first dividing the 360 degrees compass rose into sixteen equiangular sectors. Then, for each sector, the average wind speed of the highest 10% wind speeds on record in each sector was multiplied by the fetch distance of that sector and by the percent of all wind speeds on record that blow in the direction of that sector. The values for all sectors of a shoreline segment were then summed and re-ranked as a percentile. |
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Spatial Extent Area
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10-100 km^2 | 10-100 km^2 | 10-100 km^2 | 10-100 km^2 | 10-100 km^2 | 10-100 km^2 | 10-100 km^2 |
Spatially Distributed?
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Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Observations Spatially Patterned?
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Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Spatial Grain Type
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length, for linear feature (e.g., stream mile) | length, for linear feature (e.g., stream mile) | length, for linear feature (e.g., stream mile) | length, for linear feature (e.g., stream mile) | length, for linear feature (e.g., stream mile) | length, for linear feature (e.g., stream mile) | length, for linear feature (e.g., stream mile) |
Spatial Grain Size
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80 m | 80 m | 80 m | 80 m | 80 m | 80 m | 80 m |
Spatial Density
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
EnviroAtlas URL
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Distance from the shore point to the 10 m depth contour ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. |
Geomorphology exposure ?Comment:Geomorphology rankings were adopted using the ranking scheme suggested by the InVEST user guide. Also computed by stakeholder type. |
Natural habitats exposure ?Comment:Output metric encoded at the segment level representing exposure vulnerability due to the natural habitat. Also computed by stakeholder type. |
Relief exposure ?Comment:Relief rankings were assigned based on the average elevation of the land area within 5 km of each shore line segment in five equal bins of 20 percent each. Also computed by stakeholder type. |
Surge potential exposure ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. Also computed by stakeholder type. |
Wave exposure ?Comment:The model estimated the relative wave exposure of each shoreline segment by computing the maximum of the weighted average power of oceanic waves and locally wind-generated waves. Relative wave exposure values were re-ranked as a percentile and rankings of 1 to 5 were assigned to each shoreline segment based on binned percentile values of 20 percent each. Also computed by stakeholder type. |
Wind exposure ?Comment:Wind exposure for shoreline segments was computed by first dividing the 360 degrees compass rose into sixteen equiangular sectors. Then, for each sector, the average wind speed of the highest 10% wind speeds on record in each sector was multiplied by the fetch distance of that sector and by the percent of all wind speeds on record that blow in the direction of that sector. The values for all sectors of a shoreline segment were then summed and re-ranked as a percentile. |
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Temporal Extent
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1609-2080 | 1609-2080 | 1609-2080 | 1609-2080 | 1609-2080 | 1609-2080 | 1609-2080 |
Temporally Distributed?
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Regular Temporal Grain?
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Grain Size Value
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Grain Size Units
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Density
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Distance from the shore point to the 10 m depth contour ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. |
Geomorphology exposure ?Comment:Geomorphology rankings were adopted using the ranking scheme suggested by the InVEST user guide. Also computed by stakeholder type. |
Natural habitats exposure ?Comment:Output metric encoded at the segment level representing exposure vulnerability due to the natural habitat. Also computed by stakeholder type. |
Relief exposure ?Comment:Relief rankings were assigned based on the average elevation of the land area within 5 km of each shore line segment in five equal bins of 20 percent each. Also computed by stakeholder type. |
Surge potential exposure ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. Also computed by stakeholder type. |
Wave exposure ?Comment:The model estimated the relative wave exposure of each shoreline segment by computing the maximum of the weighted average power of oceanic waves and locally wind-generated waves. Relative wave exposure values were re-ranked as a percentile and rankings of 1 to 5 were assigned to each shoreline segment based on binned percentile values of 20 percent each. Also computed by stakeholder type. |
Wind exposure ?Comment:Wind exposure for shoreline segments was computed by first dividing the 360 degrees compass rose into sixteen equiangular sectors. Then, for each sector, the average wind speed of the highest 10% wind speeds on record in each sector was multiplied by the fetch distance of that sector and by the percent of all wind speeds on record that blow in the direction of that sector. The values for all sectors of a shoreline segment were then summed and re-ranked as a percentile. |
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Not reported | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | |
Min Value
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Not reported | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Max Value
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Not reported | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Other Value Type
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Not applicable | Mean | Mean | Mean | Mean | Mean | Not applicable |
Other Value
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Not reported | Varies by run; see runs to view value | Varies by run; see runs to view values | Varies by run; see runs to view values | Varies by run; see runs to view values | Varies by run; see runs to view value | Not applicable |
Distance from the shore point to the 10 m depth contour ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. |
Geomorphology exposure ?Comment:Geomorphology rankings were adopted using the ranking scheme suggested by the InVEST user guide. Also computed by stakeholder type. |
Natural habitats exposure ?Comment:Output metric encoded at the segment level representing exposure vulnerability due to the natural habitat. Also computed by stakeholder type. |
Relief exposure ?Comment:Relief rankings were assigned based on the average elevation of the land area within 5 km of each shore line segment in five equal bins of 20 percent each. Also computed by stakeholder type. |
Surge potential exposure ?Comment:The model calculated surge potential by computing the distance of all segments from the shoreline to a specified depth contour. We used a depth of 10 meters which represented the edges of deeply dredged shipping channels present in the bay. Also computed by stakeholder type. |
Wave exposure ?Comment:The model estimated the relative wave exposure of each shoreline segment by computing the maximum of the weighted average power of oceanic waves and locally wind-generated waves. Relative wave exposure values were re-ranked as a percentile and rankings of 1 to 5 were assigned to each shoreline segment based on binned percentile values of 20 percent each. Also computed by stakeholder type. |
Wind exposure ?Comment:Wind exposure for shoreline segments was computed by first dividing the 360 degrees compass rose into sixteen equiangular sectors. Then, for each sector, the average wind speed of the highest 10% wind speeds on record in each sector was multiplied by the fetch distance of that sector and by the percent of all wind speeds on record that blow in the direction of that sector. The values for all sectors of a shoreline segment were then summed and re-ranked as a percentile. |
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Variability Expression Given?
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No |
No ?Comment:by histogram |
No ?Comment:by histogram |
No |
No ?Comment:by histogram |
No ?Comment:by histogram |
No |
Variability Metric
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None | None | None | None | None | None | None |
Variability Value
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None | None | None | None | None | None | None |
Variability Units
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None | None | None | None | None | None | None |
Resampling Used?
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variability Expression Used in Modeling?
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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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