Development of a GIS-based decision support system for eco-environment and natural resources of Northeast Asia

Weijie Liu, Bai Zhang, Zongming Wang, Kaishan Song, Dianwei Liu, Chunying Ren, Jia Du
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="" style="color: black;">Procedia Environmental Sciences</a> </i> &nbsp;
Over the last five decades and more, rapid economic growth in Northeast Asia -China, Japan, the Republic of Korea, the Democratic Peoples' Republic of Korea, Mongolia, plus the Russian Far East okrug (district) of the Russian Federationhas rapidly increased needs for services of eco-environment and natural resources. Though the region as a whole possesses resources that could contribute substantially toward its future needs, mass data management and analysis is essential. A decision support
more &raquo; ... em has been developed for eco-environment and natural resources management and decision support in Northeast Asia. The system is based on evaluation and prediction modeling system, international GIS software and related databases. In support of spatial information technology, it can integrate multi-source spatial data and non-spatial data which include natural resources survey, remote sensing data, social and economic statistics data, meteorological observation data; resources background data, special graphics data, and etcetera. Its features include loading, access, extraction, mining, spatial query, analysis, reports, etcetera. With relational database and GIS technology, combined with models of various resources and environment and models of dynamic spatio-temporal analysis and evaluation models, it can analyze spatio-temporal process of natural resources, it can manage resources and environment scientifically, and it can provide prediction and decision support.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1016/j.proenv.2010.10.102</a> <a target="_blank" rel="external noopener" href="">fatcat:otrredxvbbc2lnuze3s47bqpwa</a> </span>
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