<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Stoms, D. M.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Linking GIS and reserve selection algorithms: Towards a geospatial data model</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">conservation planning</style></keyword><keyword><style  face="normal" font="default" size="100%">data model</style></keyword><keyword><style  face="normal" font="default" size="100%">object-oriented</style></keyword><keyword><style  face="normal" font="default" size="100%">reserve selection</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.biogeog.ucsb.edu/pubs/Technical%20Reports/Reserve_Selection_Data_Model.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Biogeography Lab, Bren School of Environmental Science and Management, University of California Santa Barbara</style></publisher><pages><style face="normal" font="default" size="100%">37</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Most reserve selection algorithms used in research or conservation practice are only loosely coupled with geographic information system technology. This paper argues that formalizing a core geospatial data model would benefit algorithm developers, researchers, and practitioners through standardized data management and ease of database development with any reserve selection algorithm.</style></abstract></record></records></xml>