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

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Main Authors: Valverde-Rebollo, Gabriela Monserrat, Espinosa-Morales, Juan Carlos, Valtierra-Pacheco, Esteban, Escalona Maurice, Miguel J.
Format: Digital revista
Language:spa
Published: Colegio de Postgraduados 2022
Online Access:https://revista-agroproductividad.org/index.php/agroproductividad/article/view/1959
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spelling oai:ojs.pkp.sfu.ca:article19592022-05-16T15:40:40Z Geographical analysis of rice production and storage in Mexico, 1980 – 2018 Valverde-Rebollo, Gabriela Monserrat Espinosa-Morales, Juan Carlos Valtierra-Pacheco, Esteban Escalona Maurice, Miguel J. Geographic Analysis, Rice Production, Geographic Information Systems geographic analysis, rice production, geographic information systems. 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 integrated into a relational database for spatial analysis. Results: Results of production, storage, distribution network and the rice consumption-storage forecast for Mexico in 2030 are presented. Using the statistical base, depicted in a GIS projection. Limitations in the study: It is necessary to perform a spatial analysis per state to determine distance isochrons and to 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 geographical factors of the primary sector, generating some geographical patterns for rice production, such as location, distribution and consumption per human settlement Colegio de Postgraduados 2022-05-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revista-agroproductividad.org/index.php/agroproductividad/article/view/1959 10.32854/agrop.v15i4.1959 AgroP; 2022: EARLY ACCESS (Vol. IV) Agro Productividad; 2022: EARLY ACCESS (Vol. IV) 2594-0252 2448-7546 spa https://revista-agroproductividad.org/index.php/agroproductividad/article/view/1959/1807 Derechos de autor 2022 Agro Productividad
institution COLPOS
collection OJS
country México
countrycode MX
component Revista
access En linea
databasecode rev-agroproductividad-mx
tag revista
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language spa
format Digital
author Valverde-Rebollo, Gabriela Monserrat
Espinosa-Morales, Juan Carlos
Valtierra-Pacheco, Esteban
Escalona Maurice, Miguel J.
spellingShingle Valverde-Rebollo, Gabriela Monserrat
Espinosa-Morales, Juan Carlos
Valtierra-Pacheco, Esteban
Escalona Maurice, Miguel J.
Geographical analysis of rice production and storage in Mexico, 1980 – 2018
author_facet Valverde-Rebollo, Gabriela Monserrat
Espinosa-Morales, Juan Carlos
Valtierra-Pacheco, Esteban
Escalona Maurice, Miguel J.
author_sort Valverde-Rebollo, Gabriela Monserrat
title Geographical analysis of rice production and storage in Mexico, 1980 – 2018
title_short Geographical analysis of rice production and storage in Mexico, 1980 – 2018
title_full Geographical analysis of rice production and storage in Mexico, 1980 – 2018
title_fullStr Geographical analysis of rice production and storage in Mexico, 1980 – 2018
title_full_unstemmed Geographical analysis of rice production and storage in Mexico, 1980 – 2018
title_sort geographical analysis of rice production and storage in mexico, 1980 – 2018
description 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
publisher Colegio de Postgraduados
publishDate 2022
url https://revista-agroproductividad.org/index.php/agroproductividad/article/view/1959
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