Digital mapping of soil properties in the West of Honduras, Central America.doi:10.7910/DVN/QVXA7UHarvard Dataverse2016-10-042Da Silva, Mayesse; Monserrate, Fredy; Valencia, Jefferson; Quintero, Marcela; Jarvis, Andy, 2016, "Digital mapping of soil properties in the West of Honduras, Central America.", https://doi.org/10.7910/DVN/QVXA7U, Harvard Dataverse, V2Digital mapping of soil properties in the West of Honduras, Central America.doi:10.7910/DVN/QVXA7UDa Silva, MayesseMonserrate, FredyValencia, JeffersonQuintero, MarcelaJarvis, AndyInternational Center for Tropical Agriculture2016Award No. AID-BFS-G-11-00002-10Harvard DataverseInternational Center for Tropical AgricultureCIAT Data and Research MethodsGarcia, Carolina2016-08-26Earth and Environmental SciencesSoil textureWilting pointField capacityWater holding capacityHondurasDEMTopographic Wetness Index (TWI)Curve numbersDry corridorLatin America and the CaribbeanSoilsLand use mappingDigital soil property maps were generated at 30 meters resolution for the West of Honduras in order to develop the AGRI v.1 tool (Monserrate et al., 2016). AGRI (from its Spanish words AGua para RIego) is a tool that combines information about climate, relief, soils, land cover, and hydrology to identify suitable water sources for implementing small irrigation projects. The soil properties mapped were sand (%), silt (%), clay (%), texture class, field capacity (v/v), wilting point (v/v), water holding capacity (v/v), and curve numbers. A database of 1887 points from González et al. (2008) were used to generate the maps of sand, silt, and clay. This database was also used to determine field capacity, wilting point and water-holding capacity for each point by applying pedotransfer functions according to Saxton & Rawls (2006). A regression kriging approach was performed by combining 80% of point data with the terrain attributes aspect, mid-slope position, normalized height, plan and profile curvature, slope and topographic wetness index generated from a digital elevation model SRTM of 30 meters resolution. The combination of sand, silt, and clay maps resulted on texture class map. The curve number was mapped using the texture and land cover maps according to Soil Conservation Service of the United States of America (USDA-SCS, 1985). The maps performance was evaluated by the normalized root mean square error (RMSEn) expressed in percentage and using 20% of data point not used for mapping. Clay, sand, silt, field capacity, water holding capacity and wilting point presented error of 16%, 17%, 13%, 19%, 10% and 18% respectively.HondurasHondurasHondurasHondurasHondurasHondurasHondurasHondurasHondurasHondurasHondurasCopanOcotepequeLempiraSanta BárbaraIntibucáLa PazCortesComayaguaFrancisco MorazánValleCholutecaWest of the countryGeospatial DataSoil DataRaster maps for using in a GIS environmentWhilst utmost care has been taken CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.<a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.Gonzalez, J.P., Jarvis, A., Cook, S., Oberthur, T., Rincon-Romero, M., Bagnell, J., Bernardine, D. 2008. Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processes, in: Hartemink, A.E., McBratney, A., Mendonça-Santos, M. de L. (Eds.), Digital Soil Mapping with Limited Data. Springer Netherlands, Dordrecht, pp. 367–380.10.1007/978-1-4020-8592-5Gonzalez, J.P., Jarvis, A., Cook, S., Oberthur, T., Rincon-Romero, M., Bagnell, J., Bernardine, D. 2008. Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processes, in: Hartemink, A.E., McBratney, A., Mendonça-Santos, M. de L. (Eds.), Digital Soil Mapping with Limited Data. Springer Netherlands, Dordrecht, pp. 367–380.Monserrate, F., Valencia, J., Quintero, M., Hyman, G., Da Silva, M., Coppus, R., Bautista, O., Rivera, O., León, J., Manueles, A. 2016. Aumentando la resiliencia climática en el occidente de Honduras: explorando fuentes de agua para pequeños productores rurales. United States Agency for International Development (USAID); Centro Internacional de Agricultura Tropical (CIAT); Escuela Agrícola Panamericana Zamorano (EAP Zamorano). Cali, CO. 44 p.10568/73454Monserrate, F., Valencia, J., Quintero, M., Hyman, G., Da Silva, M., Coppus, R., Bautista, O., Rivera, O., León, J., Manueles, A. 2016. Aumentando la resiliencia climática en el occidente de Honduras: explorando fuentes de agua para pequeños productores rurales. United States Agency for International Development (USAID); Centro Internacional de Agricultura Tropical (CIAT); Escuela Agrícola Panamericana Zamorano (EAP Zamorano). Cali, CO. 44 p.1a. Sand.jpgSand in .jpg file format image/jpeg1b. sand.ascSand in .asc file formattext/x-fixed-field1c. sand.zipZipped sand in .asc file formatapplication/zip2a. Clay.jpgClay in .jpg file formatimage/jpeg2b. Clay.ascClay raster file in .asc format.text/x-fixed-field2c. Clay.zipZipped clay raster file in .asc format.application/zip3a. Silt.jpgSilt file in .jpg formatimage/jpeg3b. Silt.ascSilt raster file in .asc formattext/x-fixed-field3c. Silt.zipZipped silt raster file in .asc formatapplication/zip4a. Texture class.jpgTexture class in .jpg formatimage/jpeg4b. Texture class.ascTexture class raster file in .asc formattext/x-fixed-field4c. Texture class legend.txtTexture class raster file legendtext/plain4d. Texture_class.zipZipped texture class raster file in .asc format and legendapplication/zip5a. Field capacity.jpgField capacity in .jpg format image/jpeg5b. Field capacity.ascField capacity raster file in .asc formattext/x-fixed-field5c. Field capacity.zipZipped field capacity raster file in .asc formatapplication/zip6a. Wilting point.jpgWilting Point in .jpg format image/jpeg6b. Wilting point.ascWilting point raster file in .asc formattext/x-fixed-field6c. Wilting point.zipZipped wilting point in .asc file formatapplication/zip7a. Water holding capacity.jpgWater holding capacity in .jpg formatimage/jpeg7b. Water holding capacity.ascWater holding capacity raster file in .asc formattext/x-fixed-field7c. Water holding capacity.zipZipped water holding capacity raster file in .asc formatapplication/zip8a. Curve number.jpgCurve number in .jpg file formatimage/jpeg8b. Curve number.ascCurved number raster file in .asc format.text/x-fixed-field8c. Curve number.zipZipped curved number raster file in .asc format.application/zip