ANALYTICS BASED ON GOVT. LAND INFORMATION SYSTEM(GLIS) DATA

Computer Science

Government land data information systems play a crucial role in facilitating informed decision-making and effective land management. This paper presents a comprehensive analysis of government land data information system data, focusing on understanding land usage, ownership patterns, and development trends. Through the utilization of descriptive statistics, spatial analysis, and predictive modeling techniques, the study examines various aspects of land data to derive valuable insights for policymakers, urban planners, and stakeholders. The paper reviews existing literature on government land data systems, data analysis methodologies, and land management practices to contextualize the research findings. Methodologically, the study describes data collection procedures, data cleaning techniques, and analytical approaches employed in the analysis. Results from the analysis reveal significant trends, patterns, and correlations in land usage, ownership, and development activities over time and space. The discussion interprets these findings within the broader context of land management and policy formulation, highlighting implications for sustainable development, equitable distribution of resources, and regulatory interventions. Finally, the paper concludes with recommendations for future research directions and areas of inquiry to further enhance our understanding of government land data and its implications for land management and policy. Overall, this paper contributes to the existing body of knowledge on government land data analysis and provides practical insights for improving land governance and decision-making processes.

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