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Part 1: Document Description
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Citation |
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Title: |
Basil suitability dataset for Valle del Cauca, Colombia |
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Identification Number: |
doi:10.7910/DVN/84NLSQ |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-03-08 |
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Version: |
1 |
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Bibliographic Citation: |
Esponda Bernal, Maria Del Mar; Echeverri-Sanchez, Andres, 2024, "Basil suitability dataset for Valle del Cauca, Colombia", https://doi.org/10.7910/DVN/84NLSQ, Harvard Dataverse, V1 |
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Citation |
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Title: |
Basil suitability dataset for Valle del Cauca, Colombia |
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Identification Number: |
doi:10.7910/DVN/84NLSQ |
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Authoring Entity: |
Esponda Bernal, Maria Del Mar (International Center for Tropical Agriculture - CIAT) |
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Echeverri-Sanchez, Andres (Universidad del Valle) |
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Other identifications and acknowledgements: |
Maria del Mar Esponda |
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Producer: |
Universidad del Valle |
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Date of Production: |
2021 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
Bioversity International and the International Center for Tropical Agriculture |
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Access Authority: |
Alliance Data Management |
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Depositor: |
Alliance Data Management |
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Date of Deposit: |
2024-03-04 |
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Date of Distribution: |
2024 |
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Holdings Information: |
https://doi.org/10.7910/DVN/84NLSQ |
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Study Scope |
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Keywords: |
Agricultural Sciences, Earth and Environmental Sciences, crop production, geographical information systems, Colombia, production location, Latin America and the Caribbean, Performance, Innovation and Strategic Analysis for Impact |
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Topic Classification: |
modelling, basil |
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Abstract: |
We present a 100-meter resolution layer for evaluating basil crop suitability in Valle del Cauca, southwest Colombia, accompanied by pertinent modeling layers. Our model employs seven biophysical criteria, namely Altitude, Temperature, Solar Brightness, Relative Humidity, Drainage, Precipitation, and Slope, were employed, alongside four exclusion criteria: Erosion, Protected Areas, Water Bodies, and Urban Areas. We explore primary and secondary scenarios, assessing suitable areas under average and 75% rainfall exceedance conditions using an additional precipitation layer. An additional precipitation layer was incorporated for this purpose. The data for the layers were sourced from various government entities and private organizations. The 12 normalized criteria layers, reflecting aptitude for the studied crop, are included, along with layers for the Suitable Crop Location Index (SCLI) for both pre-and post-classification into categories. Supplementary layers that may be relevant but were not included in the model, such as the road network and airport locations, are also provided.<br><br> Methodology:The layers were obtained through a methodology that integrates AHP-GIS techniques. Based on the hierarchy and weighted values of each biophysical criterion obtained through the Analytic Hierarchy Process (AHP), each layer was integrated through a weighted sum to derive the Suitable Crop Location Index (SCLI). |
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Time Period: |
1981-2020 |
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Date of Collection: |
2020-2021 |
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Country: |
Colombia |
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Geographic Coverage: |
Valle del Cauca |
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Geographic Bounding Box: |
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Unit of Analysis: |
Pixel with 100 m resolution |
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Universe: |
Valle del Cauca |
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Kind of Data: |
Geospatial Data |
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Kind of Data: |
Environmental Data |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
CVC. (2015). Digital Elevation Model of Valle del Cauca. In Shapefile. |
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CVC. (2020). Regional Autonomous Corporation of Valle del Cauca. In Climatologic Series 1981-2010. https://ecopedia.cvc.gov.co/modulo-consulta |
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CENICAÑA. (2020). Meteoportal - Sugarcane Research Center of Colombia. https://www.cenicana.org/apps/meteoportal/public/condicionHidrica |
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GEOCVC. (2003). Erosion Degrees. Valle del Cauca, Colombia. In Vector Shapefile. https://www.geo.cvc.gov.co/visor_avanzado/ |
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GEOCVC. (2019). Land Use Capacity. https://www.geo.cvc.gov.co/visor_avanzado/ |
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GEOCVC. (2020). Water Bodies. Valle del Cauca, Colombia. In Vector Shapefile. https://www.geo.cvc.gov.co/visor_avanzado/ |
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IDEAM. (2020). Institute of Hydrology, Meteorology, and Environmental Studies. In Climatological Series 1981-2010. http://dhime.ideam.gov.co/atencionciudadano/ |
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IGAC. (2006). Digital Map of Land Use Capacity of the Department of Valle del Cauca. Vector Format. https://geoportal.igac.gov.co/contenido/datos-abiertos-agrologia |
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PNNC. (2014). National Parks Limits. In Shapefile. https://mapas.parquesnacionales.gov.co/ |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
A Biophysical Suitability Model to Identify Best Areas for the Cultivation of Potential Cash Crops: The Case of Basil in Valle Del Cauca (pre-print version) |
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Identification Number: |
10.2139/ssrn.4524693 |
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Bibliographic Citation: |
A Biophysical Suitability Model to Identify Best Areas for the Cultivation of Potential Cash Crops: The Case of Basil in Valle Del Cauca (pre-print version) |
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Citation |
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Title: |
Esponda Bernal, M.D.; Echeverri-Sanchez, A. (2023) Basil cultivation criteria evaluation. https://doi.org/10.7910/DVN/E0MH2O, Harvard Dataverse, V1 |
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Identification Number: |
10.7910/DVN/E0MH2O |
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Bibliographic Citation: |
Esponda Bernal, M.D.; Echeverri-Sanchez, A. (2023) Basil cultivation criteria evaluation. https://doi.org/10.7910/DVN/E0MH2O, Harvard Dataverse, V1 |
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Label: |
01a. Variable_dictionary.xlsx |
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Text: |
Layers descrption |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
02a. DatainBrief.gdb.zip |
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Text: |
Layers |
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Notes: |
application/zip |