Projecting Global Datasets to Achieve Equal Areas
| العنوان: | Projecting Global Datasets to Achieve Equal Areas |
|---|---|
| المؤلفون: | T. D. Beard, Sheila Ruhl, Michael P. Finn, John D. Cox, E. Lynn Usery, Morgan Bearden |
| المصدر: | Cartography and Geographic Information Science. 30:69-79 |
| بيانات النشر: | Informa UK Limited, 2003. |
| سنة النشر: | 2003 |
| مصطلحات موضوعية: | Geography, Planning and Development, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Land cover, computer.file_format, computer.software_genre, Geography, Transformation (function), Management of Technology and Innovation, Resampling, Data mining, Holdridge life zones, Raster graphics, Projection (set theory), Map projection, computer, Cartography, Categorical variable, Civil and Structural Engineering |
| الوصف: | Scientists routinely accomplish global modeling in the raster domain, but recent research has indicated that the transformation of large areas through map projection equations leads to errors. This research attempts to gauge the extent of map projection and resampling effects on the tabulation of categorical areas by comparing the results of three datasets for seven common projections. The datasets, Global Land Cover, Holdridge Life Zones, and Global Vegetation, were compiled at resolutions of 30 arc-second, ½ degree, and 1 degree, respectively. These datasets were projected globally from spherical coordinates to plane representations. Results indicate significant problems in the implementation of global projection transformations in commercial software, as well as differences in areal accuracy across projections. The level of raster resolution directly affects the accuracy of areal tabulations, with higher resolution yielding higher accuracy. If the raster resolution is high enough for individual ... |
| تدمد: | 1545-0465 1523-0406 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::0e4c6142bce9de2076ebd97c7fae3931 https://doi.org/10.1559/152304003100010956 |
| رقم الأكسشن: | edsair.doi...........0e4c6142bce9de2076ebd97c7fae3931 |
| قاعدة البيانات: | OpenAIRE |
PDF full text from Publisher | تدمد: | 15450465 15230406 |
|---|