A Program for Handling Map Projections of Small Scale Geospatial Raster Data
Keywords: raster data, map projection, transformations
AbstractScientists routinely accomplish small-scale geospatial modeling using raster datasets of global extent. Such use often requires the projection of global raster datasets onto a map or the reprojection from a given map projection associated with a dataset. The distortion characteristics of these projection transformations can have significant effects on modeling results. Distortions associated with the reprojection of global data are generally greater than distortions associated with reprojections of larger-scale, localized areas. The accuracy of areas in projected raster datasets of global extent is dependent on resolution. To address these problems of projection and the associated resampling that accompanies it, methods for framing the transformation space, direct point-to-point transformations rather than gridded transformation spaces, a solution to the wrap-around problem, and an approach to alternative resampling methods are presented. The implementations of these methods are provided in an open source software package called MapImage (or mapIMG, for short), which is designed to function on a variety of computer architectures.
How to Cite
Finn, M. P., Steinwand, D. R., Trent, J. R., Buehler, R. A., Mattli, D. M., & Yamamoto, K. H. (2012). A Program for Handling Map Projections of Small Scale Geospatial Raster Data. Cartographic Perspectives, (71), 53-67. https://doi.org/10.14714/CP71.61
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication, with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).