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Schematic Road Network Map Progressive Generalization Based on Multiple Constraints 被引量:1
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作者 DONG Weihua GUO Qingsheng LIU Jiping 《Geo-Spatial Information Science》 2008年第3期215-220,共6页
Multiple constraints for schematic road network map cartographic design are analyzed and summarized. Based on this, a set of quantitative criteria are set up and a new road network generalization method including prog... Multiple constraints for schematic road network map cartographic design are analyzed and summarized. Based on this, a set of quantitative criteria are set up and a new road network generalization method including progressive selection and displacement is proposed. Furthermore, topological checking methods for road networks are researched. Based on these constraints, the points in a road network are classified, and a satisfactory and effective schematic map is designed in a con- crete experiment while maintaining topological consistency of the road network between the original and the schematic map 展开更多
关键词 schematic map spatial cognition progressive cartographic generalization graphic simplification
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Modelling the Potential Distribution of <i>Vitellaria paradoxa</i>subsp. <i>nilotica</i>(C.F. Gaertn) across the Kidepo Landscape of Uganda in the Face of Climate Change
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作者 Isaac Tom Okurut John Bosco Lamoris Okullo +1 位作者 Daniel Waiswa Julius Muyizzi 《Journal of Geoscience and Environment Protection》 2020年第8期14-24,共11页
Climate change and human activities are increasingly linked with the extinction of species globally. In semi-arid regions, these pressures threaten the natural distribution and ecology of species. The threat that the ... Climate change and human activities are increasingly linked with the extinction of species globally. In semi-arid regions, these pressures threaten the natural distribution and ecology of species. The threat that the shea butter tree (<em>Vitellaria paradoxa</em> subsp. <em>nilotica</em>) faces from human activity is well researched yet the sensitivity of its distribution to climate change remains barely known. We set out to assess the potential distribution of <em>Vitellaria</em> under different climate change scenarios using a MaxEnt. A current distribution model was first developed using only biophysical variables of soil type, temperature, precipitation, land use type, and elevation. This model was then projected onto two global warming scenarios (RCP 4.5 & RCP 8.5) for 2050 and 2070 using multi-model averages (BCC-CSM, CSM4, and MIROC5) derived from three general circulation models. Reductions are seen in distribution area across the landscape with soil type being the most important variable. These results draw useful implications for conservation of <em>Vitellaria</em> in that they show how it is vulnerable is to a changing climate as its natural range is mostly reduced. Since climate change is important in the distribution of the shea butter tree, the areas with highest suitability in this study can be used in establishing the Shea butter tree sustainable use zones/area within the Kidepo Critical Landscape (KCL), Uganda. 展开更多
关键词 mapping Biophysical Variables General Circulation Models Dry land MAXENT
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