Item talk:Q68464
From geokb
{
"USGS Publications Warehouse": { "schema": { "@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "User's Guide for MapIMG 2: Map Image Re-projection Software Package", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "ofr20061016", "url": "https://pubs.usgs.gov/publication/ofr20061016" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 76253 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/ofr20061016", "url": "https://doi.org/10.3133/ofr20061016" } ], "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Open-File Report" } ], "datePublished": "2006", "dateModified": "2012-02-02", "abstract": "BACKGROUND\r\n\r\nScientists routinely accomplish small-scale geospatial modeling in the raster domain, using high-resolution datasets for large parts of continents and low-resolution to high-resolution datasets for the entire globe. Direct implementation of point-to-point transformation with appropriate functions yields the variety of projections available in commercial software packages, but implementation with data other than points requires specific adaptation of the transformation equations or prior preparation of the data to allow the transformation to succeed. It seems that some of these packages use the U.S. Geological Survey's (USGS) General Cartographic Transformation Package (GCTP) or similar point transformations without adaptation to the specific characteristics of raster data (Usery and others, 2003a).\r\n\r\nUsery and others (2003b) compiled and tabulated the accuracy of categorical areas in projected raster datasets of global extent. Based on the shortcomings identified in these studies, geographers and applications programmers at the USGS expanded and evolved a USGS software package, MapIMG, for raster map projection transformation (Finn and Trent, 2004). Daniel R. Steinwand of Science Applications International Corporation, National Center for Earth Resources Observation and Science, originally developed MapIMG for the USGS, basing it on GCTP. 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