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Modeling and querying approximate direction relations
Authors:Shihong Du  Luo Guo
Institution:1. Institute of Remote Sensing and GIS, Peking University, Beijing, 100871, China;2. School of Life and Environmental Science, Minzu University of China, Beijing, 100081, China;1. WorldFish, House no-22B, Road no-7, Block no-F, Banani, Dhaka 1213, Bangladesh;2. WorldFish, Jalan Batu Maung, 11960 Bayan Lepas, Penang, Malaysia;3. WorldFish, #35, Street 71, Sangkat Beng Keng Kang 1, Phnom Penh, Cambodia;4. WorldFish, 18 (B) El Marashely St., 4th Floor, Aprt # 17, Zamalek, Cairo 1121, Egypt;1. Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China;2. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China;3. School of Information and Communications, Gwangju Institute of Science and Technology (GIST), Gwangju 500-712, South Korea;1. School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, PR China;2. School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia;1. National Marine Fisheries Service, Alaska Fisheries Science Center, 7600 Sand Point Way NE, Seattle, WA, 98115, USA;2. Université de Bretagne Occidentale, AMURE/LABEX/IUEM, 12 rue de Kergoat, CS 93837, 29238, Brest Cedex 3, France;3. Pacific States Marine Fisheries Commission, 205 SE Spokane Street, Suite 100, Portland, OR, 97202, USA;4. Human Dimensions of Natural Resources, Colorado State University, 1480 Campus Delivery, Fort Collins, CO, 80523, USA;5. Department of Marine Affairs, University of Rhode Island, Kingston, RI, 02881, USA;1. Department of Geomatics Engineering, Gumushane University, Gumushane, Turkey;2. Department of Civil and Geomatics Engineering, California State University, Fresno, CA, USA
Abstract:Existing models of direction relations are mainly designed to handle crisp regions. To accommodate uncertain spatial data, it is necessary to investigate the formalization, uncertain semantics, and composition operators for uncertain direction relations. In this study, direction relations about uncertain regions, i.e., approximate direction relations, are modeled as the combinations of four crisp direction relations. The approximate relations can be interpreted from two aspects: the lower part (only including crisp relations about uncertain region) and the uncertain part (the uncertain directions about uncertain regions). The uncertain semantics of uncertain directions are formalized, such as possibly north, possibly south, possibly southeast, etc. Both crisp and uncertain parts are used to simplify and handle the composition and the query of uncertain direction relations. Approximate direction relations are helpful to model directions concerned with both crisp and uncertain regions; they therefore can play important roles in handling uncertain data (in our case, querying uncertain data).
Keywords:
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