Special Issue "Spatial Analysis for Environmental Applications"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (30 November 2014).
Dr. Linda See
International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
Website | E-Mail
Interests: citizen science, crowdsourcing and volunteered geographic information (data collection, quality assessment, creating added value products with VGI, motivation and engagement, etc.); land cover/land use validation; creation of hybrid land cover products; serious gaming; sustainable development goals (SDGs)
The last few decades have seen increasing greenhouse gas emissions, unprecedented losses in species, deforestation, degradation of soil through erosion and agricultural practices, and many issues related to water and air pollution. These environmental problems require sustainable solutions but inevitably involve tradeoffs between multiple competing objectives. This is further impacted by rising populations, increasing urbanization, wealthier populations and changing diets, all of which create a rising demand in natural resources, agriculture and other ecosystem services.
At the same time, developments in computing power/storage, the ubiquity of mobile phones and sensor networks, higher resolution satellite imagery (both spatially and temporally), and the movement towards open data and Volunteered Geographic Information (VGI) means that we have more environmental data at our disposal than ever before. This special issue will examine the state-of-the art in spatial analysis for solving the types of pressing environmental challenges outlined above, given the current technological and data rich era in which we find ourselves.
Papers in the special issue might consider questions such as: Are current methodologies sufficient or do we need to make a step change in the way we integrate, analyze and visualize environmental data? What new methods need to be developed in order to make optimal use of VGI? Are collaborative spaces with access to big data streams and contributed algorithms opening up new ways of doing research? What approaches outside of the more traditional spatial sciences can we apply to these problems? Papers can focus on applications, methods or more conceptual issues around solving environmental problems with spatial analysis.
Dr. Linda See
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. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly 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 1000 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.
- spatial statistics
- data mining
- volunteered geographic information
- collaborative environments
- ubiquitious and mobile sensing
- environmental data streams (big and little)
- ecosystem services
- Digital Earth