Discriminant models for scaling area-class maps

Zhang Jingxiong, Michael Goodchild, Brian M. Steele

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Earlier research has discussed the concept of discriminant space and its applications in area-class mapping and uncertainty characterization. Both simple univariate cases with b=1 (b being the dimension of the discriminant space) and multivariate cases with b>1 were analyzed with simulated and real data sets, respectively. This paper describes combined use of generalized linear models and kriging for scalable area-class mapping, with the former deterministically predicting mean class responses and the latter making use of spatially correlated residuals in the predictive class models. Scalability in area-class mapping is facilitated by scale-dependent prediction of mean class responses and kriging of the residuals over specific gridding cells. The methodology was implemented with topographic data and Landsat TM imagery concerning land cover mapping in central western Montana, which confirmed the effectiveness of the proposed strategy combining regression and kriging for scalable mapping of area classes.

Original languageEnglish (US)
Title of host publicationMIPPR 2007
Subtitle of host publicationRemote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications
Volume6790
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
EventMIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications - Wuhan, China
Duration: Nov 15 2007Nov 17 2007

Other

OtherMIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications
CountryChina
CityWuhan
Period11/15/0711/17/07

Fingerprint

scaling
kriging
Scalability
imagery
regression analysis
methodology
predictions
cells

Keywords

  • Area-class maps
  • Discriminant space
  • Generalized linear models
  • Geostatistics
  • Scale

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Jingxiong, Z., Goodchild, M., & Steele, B. M. (2007). Discriminant models for scaling area-class maps. In MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications (Vol. 6790). [67903B] https://doi.org/10.1117/12.751171

Discriminant models for scaling area-class maps. / Jingxiong, Zhang; Goodchild, Michael; Steele, Brian M.

MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications. Vol. 6790 2007. 67903B.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jingxiong, Z, Goodchild, M & Steele, BM 2007, Discriminant models for scaling area-class maps. in MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications. vol. 6790, 67903B, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, Wuhan, China, 11/15/07. https://doi.org/10.1117/12.751171
Jingxiong Z, Goodchild M, Steele BM. Discriminant models for scaling area-class maps. In MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications. Vol. 6790. 2007. 67903B https://doi.org/10.1117/12.751171
Jingxiong, Zhang ; Goodchild, Michael ; Steele, Brian M. / Discriminant models for scaling area-class maps. MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications. Vol. 6790 2007.
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