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Huber, Christopher C.

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This synthesized results data set is a normalized unit-less layer represent the varying levels of importance of land parcels associated with agriculture in the WLCI region. This raster represents a normalized sum for 9 spatial data sets: irrigated acreage in wet years, irrigated acreage in dry years, land classification for pasture/rangeland/ production, important grazing and calving areas, buffered locations of water 'guzzlers,' an elk depredation claims index, a mule deer depredation claims index, an antelope depredation claims index, an index based on the age of agricultural buildings associated with land parcels. These data represent an initial step towards spatially identifying lands that represent greater...
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The values in this raster are unit-less scores ranging from 0 to 1 that represent normalized dollars per acre damage claims from antelope on Wyoming lands. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."
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This dataset represents numerical values denoting a binary identification of whether a particular condition is met. In this case, values represent whether a given land parcel (represented as a pixel) is classified as "Hay/Pasture" or "Cultivated Crops" (pixels will be assigned a value of 1), or not (all pixels not in one of these categories will be assigned a value of 0). This raster is one of 9 inputs used to calculate the "Normalized Importance Index."
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This dataset is a binary input representing irrigated areas (during 'wet' years) as a raster dataset. Parcels identified as being irrigated are assigned a value of 1 while non-irrigated areas are assigned a value of 0. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."
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This dataset is a binary input representing irrigated areas (during 'dry' years) as a raster dataset. Parcels identified as being irrigated are assigned a value of 1 while non-irrigated areas are assigned a value of 0. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."
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