PELATIHAN SOLUSI PEMULIHAN EKONOMI BERBASIS TEKNOLOGI GEOSPASIAL UNTUK PEMERINTAH DAERAH

ABSTRAKPemahaman mengenai teknologi geospasial sangatlah penting khususnya bagi OPD (Organisasi Perangkat Daerah) untuk meningkatkan kompetensi sumber daya manusia di masing-masing Instansi terkait. Pelatihan mengenai pengaplikasian data digital menggunakan web ArcGIS Online menjadi salah satu alternatif untuk meningkatkan pengetahuan mengenai teknologi geospasial. Sasaran mitra penyampaian materi ini adalah OPD (Organisasi Perangkat Daerah) di Provinsi Sumatera Selatan. Pelatihan dilaksanakan dengan metode jarak jauh menggunakan platform rapat virtual. Peserta pelatihan diberikan modul dan dipandu tahapan demi tahapan dalam selama proses pelatihan berlangsung. Luaran dari pelatihan ini menunjukkan adanya peningkatan signifikan pada para peserta mengenai pemahaman teknologi spasial baik secara teoritis dan praktis. Hal tersebut berdampak baik bagi instansi-instansi khususnya untuk menyelesaikan segala permasalahan terkait geospasial. Kata kunci: teknologi; geospasial; data; digital. ABSTRACTAn understanding of geospatial technology is very important, especially for OPD (Regional Apparatus Organizations) to improve the competence of human resources in each related institution. Training on the application of digital data using the ArcGIS Online web is an alternative to increase knowledge about geospatial technology. The target partners for this material delivery are OPD (Regional Apparatus Organizations) in South Sumatra Province. The training is conducted remotely using a virtual meeting platform. Training participants are given modules and guided step by step during the training process. The output of this training showed a significant improvement in the participants' understanding of spatial technology both theoretically and practically. This has a good impact on agencies in particular to solve all problems related to geospatial. Keywords: technology; geospatial; data.

History and Prospects for African Land Governance: Institutions, Technology and ‘Land Rights for All’

Issues relating to land are specifically referred to in five of the United Nations’ (UN) 17 Sustainable Development Goals, and UN-Habitat’s Global Land Tools Network views access to land and tenure security as key to achieving sustainable, inclusive and efficient cities. The African continent is growing in importance, with climate change and population pressure on land. This review explores an interdisciplinary approach, and identifies recent advances in geo-spatial technology relevant to land governance in sub-Saharan Africa (SSA). It discusses historical legacies of colonialism that affect the culture of its land administration institutions, through three levels of governance: international/regional, national and sub-national. Short narratives on land law are discussed for four Anglophone former British colonies of SSA. A wide range of sources are drawn upon: academic research across disciplines, and official publications of various actors, including land professions (particularly surveyors, lawyers and planners), government and wider society. The findings are that African countries have carried forward colonial land governance structures into the post-independence political settlement, and that a gulf exists between the institutions, language and cultures of land governance, and the mass of its peoples struggling with basic issues of survival. This gulf may be addressed by recent approaches to land administration and technological advances in geo-spatial technology, and by new knowledge networks and interactions.

Identifying spatial technology clusters from patenting concentrations using heat map kernel density estimation

In this paper a methodology for identifying and delineating spatial technology clusters based on patenting concentration is developed. The methodology involves the automated geocoding of patent inventor addresses, the application of a home bias correction factor and a sensitivity analysis to determine the optimal parameters of the kernel density estimation interpolation distance and the minimum concentration threshold to identify clusters. The methodology’s performance is compared to a number of other cluster identification methods and it is validated across 18 individual sectors, including mature broad-based high-technology sectors and emerging niche sustainable energy technology sectors. The results suggest that the performance of the methodology exceed that of alternative cluster identification methods, although there is some variation in performance between different sectors. This demonstrates that the methodology provides researchers, practitioners and policy makers with a useful tool to gain insight into the spatial distribution of sectoral innovation activity at a global scale and sub-national regional level and to monitor changes over time, thereby supplementing more readily available global statistical data which is available at the national level.