Identifying and Prioritizing Spatial Data Required for Effective Agriculture Policymaking: A Comprehensive Analysis Using Analytical Hierarchy Process  

作　　者：Asmat Ali Munir Ahmad Muhammad Nawaz Farha Sattar 

机构地区：[1]Survey of Pakistan-Directorate of Cartography and GIS,Faizabad,Murree Road,Rawalpindi 46000 Pakistan [2]National University of Singapore Ringgold standard institution Singapore,Singapore 119260 Singapore [3]Charles Darwin University Ringgold Standard Institution Australia,Casuarina 0811 Australia

出　　处：《Data Intelligence》2025年第1期185-220,共36页数据智能(英文)

摘　　要：This paper aims to identify and prioritize spatial data required for effective agriculture policymaking.The data are identified with the help of a literature review and organized under five dimensions to ease the process of prioritization through the analytical hierarchy process(AHP).The relative importance of the data is determined through an analysis of their priority weights,derived from a comprehensive data analysis.The results reveal that land and resource use emerge as the highest-priority dimension,followed by production and efficiency,climate and environmental resilience,social and economic development,and information and data management.Furthermore,the study identified specific data within each dimension that carry significant weight in policy formulation.The findings highlight the need for a holistic approach that integrates these dimensions and data to develop comprehensive and sustainable agriculture policies.This research provides valuable insights for policymakers,researchers,and stakeholders seeking to address the complex challenges faced by the agricultural sector and foster sustainable and resilient agricultural practices.

关 键 词：Spatial Data AGRICULTURE POLICYMAKING Analytical Hierarchy Process 

分 类 号：F323[经济管理—产业经济]