Special Issue "Smart Cartography for Big Data Solutions"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: 10 June 2019
Prof. Dr. Hui Lin
The Chinese University of Hong Kong
Interests: virtual geographic environments
The increasing amount of data encourages the creation of new methodologies for data processing, as well as the development of digital technologies. Both are progressively yielding new potentials and possibilities in the evolution of cartographic analyses, synthesis, visualization, and their applications. This trend also leads to new challenges in cartography due to dealing with the gathering, storage, analysis, and visualization of spatial information and data. Cartography is one of the few visualization disciplines to has always used, and correctly analyzed a huge amount of data, and represented them on different levels of preciseness according to the needs of potential users. The bridge between Big Data (BD) and society cannot be achieved by only existing technologies and computers. The presence of professionals should be more active in the process of transforming BD into actionable information for users.
Making data understandable for their users is a key aspect of cartography science. That is why BD is actually an excellent opportunity for cartographers to represent even more information in a convenient manner according to different user groups: From young children to professionals and older people. The EU and several large companies also highlight the impact of BD on society. Among the most important geodata and geoinformation Global and EU projects in implementation is INSPIRE and UN GGIM and soon it will need to enhance visualization phase to improve all kinds of services for inhabitants. However, the tasks of visualization are too complex. Multidisciplinary research vision and GI specialists from different fields will be needed to elaborate and increase the value of cartographic methods, in general, and of visualization in particular, for society. The realization of ambitious BD projects also require a different manner of thinking than technical and GI ones. A successful solution would be to establish teams, with subject matter experts coming from different areas that have not yet worked together until now. Professionals from different disciplines, such as geography (physical, human, and economical), cartography, and geoinformatics, to try to design complex solutions to respond to different challenges. BD provides them with an opportunity to combine their knowledge and to develop complementary approaches to facilitate everyday decision making, problem solving, and improvements to life. These steps fulfill the old dream of cartographers; that their methods and approaches are considered to be generally valid (like mathematics, statistics, philosophy, etc.) and have been used by all scientists working with spatial information.
BD creates challenges that will introduce changes to humanity and the social sciences research landscape. In a BD environment, traditional research is transformed into computationally-based research methods. One of the key issues is how to provide users with easily-understandable information and knowledge based on BD. Many companies already have several petabytes of data stored, and this amount of data is growing by dozens of percentages. Cartography is already dealing with both types (classified and unclassified) of data, and, because of this, many issues, such as multidimensionality, generalization, scale, and format transformations suffer and wait for new smart solutions. Now, we have to admit it: Big Data exists, and something more than the traditional approach is expected. A new approach to problems will be created. Data shall be further explained, new messages for current and past problems shall be taken into account, and user involvement shall be brought to another level. New methodologies have to be adapted to users through their involvement in the methodology development process. Examples for this are already in place. We face an urgent need for virtual GIS, ubiquitous mapping, including context and adaptive mapping, and a remarkable inclusion of VGI. All these issues are now object to modern smart cartography approach.
Still there is still an ongoing discussion about the meaning of the word “smart“. We certainly need to develop and integrate new methodologies and technologies, but smart probably starts to be valid from the moment we create new and higher quality of the problem solutions. This is also one of the intentions of this Special Issue.
Prof. Dr. Temenoujka Bandrova
Prof. Dr. Milan Konecny
Prof. Dr. Hui Lin
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.
- Big data challenges for geo-scientists
- Data, Conceptual and Theoretical Driven Science
- Geoinformation for Smart Cities
- Multi-D Mapping and Visualization
- Web, Virtual, Augmented Cartographic Modeling
- Geo-Spatial Analysis and Data Mining
- Remote Sensing Technologies
- Volunteer Geographic Information
- Virtual Geographic Environments
- Cartographic Communication for Big Data Era