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GIS and Geoenabled Cartography

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eBook details

  • Title: GIS and Geoenabled Cartography
  • Author : Cartography and Geographic Information Science
  • Release Date : January 01, 2011
  • Genre: Earth Sciences,Books,Science & Nature,
  • Pages : * pages
  • Size : 55 KB

Description

There is nothing new about the idea of using GIS to make maps. But over the last decade there has been a dramatic increase in the ability to produce high-quality cartographic output using end-to-end GIS-based workflows. A commercial example is the 22nd edition of Rand McNally's Goode's World Atlas (Veregin, 2010), for which the world reference map series was produced entirely with commercial GIS software. To cite another example, the winner of the 2010 Esri Special Achievement in GIS award for cartography was Mapping Specialists, a Wisconsin mapping company, for their new US road atlas created from a seamless nationwide GIS database ("2010 SAG Award Winners," 2011). At a national level, the US Geological Survey is creating its new nationwide US Topo map series ("Topographic Maps for the Nation," 2011) using a seamless database and a GIS-based workflow that incorporates automated procedures costing a fraction of comparable manual methods. In these cases and others, cartographic production facilities are recognizing that modern GIS software offers numerous advantages over traditional methods, including production efficiency, relative ease of maintenance, and enhanced flexibility to reuse and repurpose components of the cartographic production process. I use the term geoenabled cartography to identify the cartographic production model that relies on GIS as the underlying data source, processing platform, and map rendering engine (Veregin, 2009). Geoenabled cartography has three essential elements, (a) an underlying set of richly attributed geospatial data, (b) the use of automated procedures to manipulate and process these data, and (c) the ability to store, reuse, modify and leverage these procedures in other contexts. According to this model, cartographic symbolization is achieved through interactions between data and procedures, thus eliminating the need for interactive editing to generate map symbology. These procedures can be common GIS tools but also encompass complex methods that focus on labor-intensive components of the map production process, including feature selection and generalization, label placement, and map rendering and output. The ability to store and reuse these procedures--using scripts or rulebases--allows them to be reused and adapted to different purposes, which promotes efficient leveraging of the initial investment.


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