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Oct 26, 2020 - Austin AI Housing Analysis Dataverse
Travis Central Appraisal District, 2020, "Travis Central Appraisal District - 2020 CERTIFIED APPRAISAL ROLL EXPORT", https://doi.org/10.18738/T8/QGRX7B, Texas Data Repository, V1
Downloaded from Travis Central Appraisal District (TCAD) website on Oct 16, 2020 https://www.traviscad.org/reports-request/
Oct 26, 2020 - Austin AI Housing Analysis Dataverse
Travis Central Appraisal District, 2020, "Travis Central Appraisal District - 2019 CERTIFIED APPRAISAL ROLL EXPORT", https://doi.org/10.18738/T8/SJOR5W, Texas Data Repository, V1
Downloaded from Travis Central Appraisal District (TCAD) website on Nov 20, 2019 https://www.traviscad.org/reports-request/
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, TWI", https://doi.org/10.18738/T8/85LBLA, Texas Data Repository, V1
TWI is calculated by the following equation: TWI= Ln ((flow_accumulation * 900) + 1 )/(Tan((slope*π)/180 )) Where high values of TWI are associated with areas that are concave, low gradient areas where water often accumulates and pools making them more vulnerable to floods.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Impervious", https://doi.org/10.18738/T8/S7NFPI, Texas Data Repository, V1
Percent impervious was measured using the percent developed impervious surface raster from the National Land Cover Database (NLCD).
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Flow Accumulation", https://doi.org/10.18738/T8/QRXYB7, Texas Data Repository, V1
Flow accumulation measures the total upstream area that flows into every raster cell based on a flow direction network as determined by the NED.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Elevation", https://doi.org/10.18738/T8/BPARY8, Texas Data Repository, V1
Elevation was calculated using the National Elevation Dataset (NED), which was provided as a seamless raster product via the LANDFIRE website at a 30-m resolution. For more information on the initial dataset see : https://www.landfire.gov/elevation.php
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Distance to Stream", https://doi.org/10.18738/T8/VLIS6E, Texas Data Repository, V1
Distance to Stream was calculated using Euclidean Distance based on the National Hydrography Dataset (NHD) stream and coastline features.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Distance to Coast", https://doi.org/10.18738/T8/YYWO9P, Texas Data Repository, V1
Distance to coast were calculated using Euclidean Distance based on the National Hydrography Dataset (NHD) stream and coastline features.
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Average Roughness", https://doi.org/10.18738/T8/5ZQMXV, Texas Data Repository, V1
Roughness values were assigned to each NLCD land cover class using the values suggested by Kalyanapu (2009), and, like KSAT, was averaged across the contributing upstream area for each raster cell for 2016. Kalyanapu, A.J., Burian, S.J. & McPherson, T.N., 2010. Effect of land use...
May 4, 2020 - Measuring, Mapping, and Managing Flood Risk in Texas
William Mobley, 2020, "Replication Data for: Flood Hazard Modeling, Average Ksat", https://doi.org/10.18738/T8/UKAGX0, Texas Data Repository, V1
KSAT values were assigned to soil classes obtained from the Natural Resources Conservation Service’s (NRCS) Soil Service Geographic Database (SSURGO) , and then averaged across the upstream area for each cell. (2020-04-28)
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