Working with Site Data

  • Markus Neteler
  • Helena Mitasova
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 689)

Abstract

Observed values or properties can be spatially referenced to a single point or, in GRASS terminology, a site. Site data represent either a discrete feature at a given scale, such as a city, an archaeological site or a hospital, or they are discrete samples of continuous fields such as data from climatic stations, measured elevation points, or bore-hole data. GRASS provides tools for management and analysis of sites map layers, as well as their transformation to vector or raster data. If the site data represent a continuous field, transformation to raster representation of this field is performed by spatial interpolation. Site data can be stored either in a multi-dimensional, multi-attribute ASCII.

Keywords

Anisotropy Covariance Rubber Eter Archeological Site 

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Notes

  1. 1.
    Multidimensional Spatial Interpolation http://www.skagit.meas.ncsu.edu/~helena/gmslab/viz/sinter.html
  2. 2.
    LIDAR data, http://www.csc.noaa.gov/crs/tcm/index.html Airborne Topographic Mapper LIDAR data were collected in partnership with the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, the NASA Wallops Flight Facility, the U.S. Geological Survey (USGS) Center for Coastal and Regional Marine Geology, and the NOAA Aircraft Operations Center
  3. 3.
    Spatial interpolation: Chesapeake Bay Nitrogen, http://www.skagit.meas.ncsu.edu/~helena/gmslab/viz/ches.html Concentrations of chemicals, http://www.skagit.meas.ncsu.edu/~helena/gmslab/ viz/voll.html Soil properties, http://www.skagit.meas.ncsu.edu/~helena/gmslab/ gsoils/ccsoil2.html

Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Markus Neteler
    • 1
  • Helena Mitasova
    • 2
  1. 1.Istituto Trentino di Cultura(ITC-irst)Italy
  2. 2.North Carolina State UniversityUSA

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