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Semantic Kriging

  • Reference work entry
  • First Online:
Encyclopedia of GIS

Synonyms

Data semantics; Land cover knowledge quantification; Prediction methods

Definition

Advancement of technology in the field of remote sensing (RS) and geographic information system (GIS) has introduced a significant amount of research challenges. Proper staging of the spatial data is necessary as geospatial repositories contain missing and erroneous information. Therefore, prediction of meteorological parameters with better accuracy is an indispensable task required for most of the applications related to weather/climatological analysis. The geostatistical interpolation methods are often considered to be the most preferred and appropriate methods for the prediction of meteorological parameters (such as land surface temperature (LST), normalized difference vegetation index (NDVI), moisture stress index (MSI), etc.), which yield minimal error. The methods based on regression exhibit better performance as the autocorrelation within the region of interest (RoI) is modeled and...

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Notes

  1. 1.

    http://www.usgs.gov/

References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, 721302, Kharagpur, India

    Shrutilipi Bhattacharjee & Soumya K. Ghosh

Authors
  1. Shrutilipi Bhattacharjee
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  2. Soumya K. Ghosh
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Corresponding author

Correspondence to Shrutilipi Bhattacharjee .

Editor information

Editors and Affiliations

  1. University of Minnesota, Minneapolis, MN, USA

    Shashi Shekhar

  2. Management Science and Information Systems Department, Rutgers Business School, Rutgers, The State University of New Jersey, Newark, NJ, USA

    Hui Xiong

  3. Department of Management Sciences, Tippie College of Business, University of Iowa, Iowa City, IA, USA

    Xun Zhou

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Bhattacharjee, S., Ghosh, S.K. (2017). Semantic Kriging. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1577

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