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Special Issue "Spatial Analysis and Remote Sensing"
Deadline for manuscript submissions: closed (30 April 2018).
Interests: spatial analysis; geocomputation; GIS; land cover; land use; spatial data analytics
Special Issues and Collections in MDPI journals
This Special Issue will collate papers that describe the application of explicitly spatial analyses to remote sensing data, either in the creation of information from remotely sensed data, or in the downstream analysis of that information.
The analysis of spatial data is not in itself spatial analysis. Explicitly spatial analyses employ a range of tools and techniques that typically acknowledge and address spatial autocorrelation, spatial heterogeneity and spatial non-stationarity. They seek to uncover, describe and quantify spatial variations in data, relationships and processes. The spatial analysis mindset is one that does not expect processes to be the same everywhere (the world may not be uniformly, normally or randomly distributed) rather there is an expectation that processes, relationships vary in space. Thus, the call for papers reflects a move away from ‘whole map’ statistics  towards ones that reflect in Goodchild’s  proposal for a second law of geography, the principle of spatial heterogeneity or non-stationarity, in which he noted the lack of a “concept of an average place on the Earth's surface comparable, for example, to the concept of an average human”.
The Special Issues seeks submissions on any topic within “Spatial Analysis and Remote Sensing”. It is anticipated that most submissions will fall into one of two categories:
1. Research that applies Spatial Analysis techniques to data derived from remote sensing. Many of the outputs of remote sensing support spatial analyses, generating spatially distributed information that describe different processes and phenomena. They provide information to support spatial analysis and there are many examples of such research in the literature.
2. Research that applies Spatial Analysis techniques in the processing of remote sensing data. Less common are research describing the application of spatial analyses to process remote sensing data and generate spatial information. Some recent research has included explicitly spatial analyses—i.e., it has not applied some global measure—in order to process remote sensing data, with impressive results .
These are just suggested groupings and papers are welcome from any area of remote sensing where some spatial analyses have been employed.
Of course, you are welcome to contact me if you would like to discuss your idea or submission.
 Openshaw S (1996). Developing GIS-relevant zone-based spatial analysis methods. In: Longley P and Batty M (eds). Spatial analysis: modelling in a GIS environment. New York: John Wiley and Sons, pp 55-73.
 Goodchild MF (2004). The Validity and Usefulness of Laws in Geographic Information Science and Geography. Annals of the Association of American Geographers, 94(2), 300-303.
 Comber A, Harris P and Tsutsumida N (2016). Improving land cover classification using input variables derived from a geographically weighted principal components analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 119: 347–360.
Prof. Dr. Alexis Comber
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Remote sensing
- Spatial heterogeneity
- Spatial non-stationarity
- Land Cover / Land Use
- Ecosystem Service
- Spatiotemporal analyses
- Local statistical models
- Error analysis
- Accuracy analysis
- Change analysis