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The Laboratory's Odyssey project created a geographic information system that served as a milestone in the development of integrated mapping systems. [2] The Laboratory influenced numerous computer graphic, mapping and architectural systems such as Intergraph, Computervision, and Esri. [3]
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.
The thematic map types that could be generated by SYMAP. Perhaps the first general-purpose software that provided a range of GIS functionality was the Synagraphic Mapping Package (SYMAP), developed by Howard T. Fisher and others at the nascent Harvard Laboratory for Computer Graphics and Spatial Analysis starting in 1965.
The uncounted plural, geographic information systems, also abbreviated GIS, is the most common term for the industry and profession concerned with these systems. The academic discipline that studies these systems and their underlying geographic principles, may also be abbreviated as GIS, but the unambiguous GIScience is more common. [3]
Data mappings can be done in a variety of ways using procedural code, creating XSLT transforms or by using graphical mapping tools that automatically generate executable transformation programs. These are graphical tools that allow a user to "draw" lines from fields in one set of data to fields in another.
Map matching is the problem of how to match recorded geographic coordinates to a logical model of the real world, typically using some form of Geographic Information System. The most common approach is to take recorded, serial location points (e.g. from GPS ) and relate them to edges in an existing street graph (network), usually in a sorted ...
The dasymetric map is a hybrid product combining the strengths and weaknesses of choropleth and isarithmic maps. [1]: 271 Dasymetric maps are used instead of choropleth maps because they represent underlying data distributions more accurately. Choropleth maps and dasymetric maps differ in three main ways.
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.