The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Spatial Interpolation
|
|
Author(s): Xiaojun Yang (Florida State University, USA)
Copyright: 2009
Pages: 8
Source title:
Handbook of Research on Geoinformatics
Source Author(s)/Editor(s): Hassan A. Karimi (University of Pittsburgh, USA)
DOI: 10.4018/978-1-59140-995-3.ch017
Purchase
|
Abstract
Spatial interpolation is a core component of data processing and analysis in geoinformatics. The purpose of this chapter is to discuss the concept and techniques of spatial interpolation. It begins with an overview of the concept and brief history of spatial interpolation. Then, the chapter reviews some commonly used interpolations that are specifically designed for working with point data, including inverse distance weighting, kriging, triangulation, Thiessen polygons, radial basis functions, minimum curvature, and trend surface. This is followed by a discussion on some criteria that are proposed to help select an appropriate interpolator; these criteria include global accuracy, local accuracy, visual pleasantness and faithfulness, sensitivity, and computational intensity. Finally, future research needs and new, emerging applications are presented.
Related Content
|
Salwa Saidi, Anis Ghattassi, Samar Zaggouri, Ahmed Ezzine.
© 2021.
19 pages.
|
|
Mehmet Sevkli, Abdullah S. Karaman, Yusuf Ziya Unal, Muheeb Babajide Kotun.
© 2021.
29 pages.
|
|
Soumaya Elhosni, Sami Faiz.
© 2021.
13 pages.
|
|
Symphorien Monsia, Sami Faiz.
© 2021.
20 pages.
|
|
Sana Rekik.
© 2021.
9 pages.
|
|
Oumayma Bounouh, Houcine Essid, Imed Riadh Farah.
© 2021.
14 pages.
|
|
Mustapha Mimouni, Nabil Ben Khatra, Amjed Hadj Tayeb, Sami Faiz.
© 2021.
18 pages.
|
|
|