Special Issue "Map Generalization"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 32850
Interests: cartography; visualization; spatial statistics; line simplification; spatial interaction; cartograms
Interests: geographic information science; spatial data modeling; generalization; multi-scale databases
Interests: geographic information systems; computational methods; geomorphic analysis; hydrography and hydrologic analysis; machine learning
The practice of cartographic generalization has advanced beyond display and legibility to include strategies that support analysis and feature recognition, that exploit spatial and semantic contexts, and that preserve relationships between and among features. The need to generalize the geospatial data is ubiquitous, and supports advanced modelling and analysis, in addition to map production. Generalization methods are in regular use in national mapping agencies that produce and steward very large data sets and data archives, private commercial organizations managing multi-scale data portals, geo-browsers that permit a range of zoom levels, and volunteer-driven and open source mapping hubs that provide services for downloading base maps and thematic data layers. Although standards for data production have been developed and are in wide use, formal methods to evaluate the impacts of generalization on higher level geometric, topologic, and semantic properties are still not widely available. Furthermore, presently, most organizations are not able to distribute data with feature level linkages that can span spatial resolutions, and many do not provide basic or advanced generalization services to users. All of these application domains can be refined and advanced by the development of new algorithms, processing methods, and evaluation protocols to improve support for mapping, modeling, and reasoning across multiple scales.
The purpose of this Special Issue is to highlight the emerging research in generalization and multiscale representation to support spatial modelling, analysis, or intelligent data distribution, in addition to static display. We invite papers for inclusion in the Special Issue relating to any of the following topics:
- Tailored and adaptive generalization that takes geographic context into account
- Generalization techniques that preserve high-level geometry characteristics such as feature density, sinuosity, complexity, and angularity
- Advanced generalization methods involving feature identification, pattern recognition or extraction, machine learning, and artificial intelligence
- Preserving topology within and between data layers
- Vertical and horizontal data integration during generalization
- Uncertainty and error propagation in generalization
- Tools to evaluate, assess, or validate generalization techniques and protocols
Authors are encouraged to contact the editor(s) by 31 October 2019, with their proposed topics or titles. Full papers (up to 8000 words) are due by 31 January 2020.Prof. Dr. Barry Kronenfeld
Prof. Dr. Barbara P. Buttenfield
Mr. Lawrence V. Stanislawski
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 submissions that pass pre-check are 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 1700 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.
- multiscale representation
- adaptive algorithms
- feature identification
- pattern recognition
- machine learning
- spatial data modelling