Geographical analysis of rice production and storage in Mexico, 1980 – 2018

Objective: Geographically analyze the production and storage of rice in Mexico in a multi-temporal period 1980 to 2018, presenting cartography of the geographical location, storage centers, nodes, networks and areas of influence generated by rice production. Design / Methodology / Approach: Results: The statistical database of "Support and Services for Agricultural Marketing" (ASERCA) was used, as well as statistical information from the Agrifood and Fisheries Information Service (SIAP), as well as the cartographic base with the geographic information systems tool the vector database was digitized and integrated into a relational database for spatial analysis Results: Results of production, storage distribution network and the forecast of consumption, storage in Mexico 2030 are presented. Using the statistical base and representing it with Geographic Information Systems tools. Study limitations: It is necessary to perform a spatial analysis by State to determine a distance Isochrons and calculate planning scenarios. Findings / Conclusions: The geographical analysis of rice production in Mexico maintains a territorial organization of cultivation, distribution, storage and consumption, which locates economic activities based on geographic factors of the primary sector, generating patterns of location, dispersion and settlement of consumption ; Objective: To analyze the production and storage of rice in Mexico, geographically and along 1980 to 2018; presenting cartography of the geographical location, rice storage centers, nodes, networks, and areas of influence generated by rice production. Design / Methodology / Approach: The statistical database of "Apoyos y Servicios a la Comercialización Agropecuaria" (ASERCA; a resource database to support agricultural marketing) was used, as well as statistical information from the Mexico’s information service “Servicio de Información Agroalimentaria y Pesquera, SIAP). Likewise, the cartographic basis for analysis was built in GIS. A vector database was digitized and ...