CFP: IJGI Special Issue on "Place-based Research in GIScience and Geoinformatics"
Song GAO
Dear colleagues, could you please help to distribute this SI CFP to the scholars who might be interested. Thanks! Song
Special Issue "Place-based Research in GIScience
and Geoinformatics"
http://www.mdpi.com/journal/ijgi/special_issues/place-based
Deadline: 15 April 2018
Special Issue Editors
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Prof. Thomas Blaschke Department of Geoinformatics - Z_GIS; University of Salzburg; Schillerstraße 30 | 5020 Salzburg, Austria. Email: thomas....@sbg.ac.at Interests: Integration of GIS & Remote Sensing, Object-based Image Analysis, mixed methods; Land Use Science |
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Dr. Song Gao Ph.D., Department of Geography, University of California-Santa Barbara; Assistant Professor at the University of Wisconsin-Madison (August 2017). Email: sg...@geog.ucsb.edu Topics (include but not limit to)
place vs. space computational models of place place inference Author Benefits MDPI Open Access: free for readers, with low publishing fees paid by authors or their institutions. High visibility: The journal is covered by Science Citation Index Expanded (Web of Science), Scopus and INSPEC (IET); 2016 IF: 1.502.
Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 30 days after submission; acceptance to publication is undertaken in 8 days (median values for papers published in this journal in 2016). Note that accepted papers after regular peer-review process for this SI will be available online immediately not waiting until the deadline. Call for Paper Information Space and place are two fundamental concepts in geography, and more broadly in the social sciences, the humanities, and information science (Tuan 1977, Agnew 2011, Goodchild 2011). Space is more abstract while the notion of place is more tangible to humans. Placenames and the semantics of places described in natural languages rather than coordinates (i.e., longitude and latitude) and geometries are pervasive in human discourse, documents, and social media while location needs to be specified (Winter & Freksa 2012, Gao et al. 2013). Moreover, digital gazetteers (dictionaries of places) play a central role for geocoding and interlinking other information (Hill 2006, Janowicz & Keßler 2008, Adams & Janowicz 2015). With the increasing availability of user-generated content, social media & geo-social network data, and human digital trajectories generated from GPS devices or smart phones and so on, these new sources provide researchers with great opportunities to study the semantics and computational representations of places, and individuals’ observations, experiences, and exposures to ambient environments, as well as associated human-place interactions (Liu et al. 2015, McKenzie et al. 2015, Gao et al. 2017). GIS has arrived at everybody’s desktop, or smartphone, respectively. Many of the underlying geometric operations have been established over the last forty years or so. Of course, real-time applications, augmented reality or indoor navigation are more recent challenges. Still, one of the major challenges is to use spatial information in a way as humans do. This may include placenames and functions for places. While the English language clearly differentiates between ‘space’ and ‘place’, the situation is different in some other languages such as German. Although place-based investigations into human phenomena have been widely conducted in the humanities and social sciences over the last decades, this notion has only recently transgressed into Geographic Information Science (GIScience). The broad umbrella term for place-centered analyses in GIScience has been informally defined as place-based GIS, which comprises research branches from automated computational place modeling on one end of the spectrum, to theoretical discussions, as for instance in critical GIS on the other end. Central to all research branches concerned with place-based GIS is the notion of placing the individual at the focal point of the investigation, in order to assess human-environment relationships. This requires the formalization of place, which poses a significant research challenge on several levels. The first challenge lies in finding an unambiguous definition of place, in order to subsequently be able to translate it into formalized binary code, which computers and GISs can handle. This formalization poses the next challenge, due to the inherent vagueness and subjectiveness of human data. The last challenge is in ensuring the transferability of results, which requires large samples of highly subjective data. Another important characteristic in place-based GIS is the development of place-based operations or analysis functionalities in analogy to their spatial counterparts (Gao et al. 2013). Finally, challenges also lie in the visual analytics of place for big geo-data (MacEachren 2017). This Special Issue invites original contributions which tackle the handling of place and which may address the meaning of place in GIScience research. Articles may determine what is special about place and how place is handled in GIScience, Geoinformatics and in neighboring disciplines. Research may contribute to the overarching questions how place can be adequately addressed and handled with established GIScience methods. What methodologies and methods from other disciplines (e.g. computer science, linguistics, etc.) must be considered in order to sufficiently account for place-based analyses. We encourage contributions which help to conflate findings from emerging research, in an attempt to position place-based GIS within the broader framework of GIScience. We welcome submissions from diverse disciplines, including Environmental Psychology, Linguistics, Urban Planning, Spatial Economics, Geographic Information Science, Spatial Cognition, Human-Computer Interaction, Data Science, Smart City, Big Data, Health & Place, and others. References Adams, B., & Janowicz, K. (2015). Thematic signatures for cleansing and enriching place-related linked data. International Journal of Geographical Information Science, 29(4), 556-579. Agnew, J. (2011). Space and place. Handbook of geographical knowledge, 2011, 316-331. Gao, S., Janowicz, K., McKenzie, G., & Li, L. (2013, November). Towards Platial Joins and Buffers in Place-Based GIS. In COMP@ACM SIGSPATIAL (pp. 42-49). Gao, S., Janowicz, K., Montello, D. R., Hu, Y., Yang, J. A., McKenzie, G., Ju, Y., Gong, L. Adams, B., & Yan, B. (2017). A data-synthesis-driven method for detecting and extracting vague cognitive regions. International Journal of Geographical Information Science, 1245-1271. Goodchild, M. F. (2011). Formalizing place in geographic information systems. In Communities, neighborhoods, and health (pp. 21-33). Springer New York. Hill, L. L. (2006). Georeferencing: The geographic associations of information. MIT Press. Janowicz, K., & Keßler, C. (2008). The role of ontology in improving gazetteer interaction. International Journal of Geographical Information Science, 22(10), 1129-1157. Liu, Y., Liu, X., Gao, S., Gong, L., Kang, C., Zhi, Y., Chi, G. & Shi, L. (2015). Social sensing: A new approach to understanding our socioeconomic environments. Annals of the Association of American Geographers, 105(3), 512-530. MacEachren, A. M. (2017). Leveraging Big (Geo) Data with (Geo) Visual Analytics: Place as the Next Frontier. In Spatial Data Handling in Big Data Era (pp. 139-155). Springer Singapore. McKenzie, G., Janowicz, K., Gao, S., Yang, J. A., & Hu, Y. (2015). POI pulse: A multi-granular, semantic signature–based information observatory for the interactive visualization of big geosocial data. Cartographica: The International Journal for Geographic Information and Geovisualization, 50(2), 71-85. Tuan, Y. F. (1977). Space and place: The perspective of experience. U of Minnesota Press. Winter, S., & Freksa, C. (2012). Approaching the notion of place by contrast. Journal of Spatial Information Science, 2012(5), 31-50. |
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Bin Jiang
I believe that the notion of place deals with idiosyncratic aspects of space perceived or felt by human beings. However, a majority of our feeling on space is the same, because the underlying living or scaling or fractal structure of far more small things than large ones. According to Christopher Alexander, the idiosyncratic aspects of space account only 10% of our feeling, and 90% of our feeling are the same or shared. For example, the image of the city is little to do with human experience, BUT the first and foremost, it is the underlying living structure of far more small things than large ones that make the city imageable and legible. I welcome your comments!
(see Comments Tab for more related evidence on the 90% of our feeling)
Thanks and cheers.Bin
-- -------------------------------------------------------- Bin Jiang Division of GIScience Faculty of Engineering and Sustainable Development University of Gävle, SE-801 76 Gävle, Sweden Phone: +46-26-64 8901 Fax: +46-26-64 8758 Email: bin....@hig.se Web: http://fromto.hig.se/~bjg/ -------------------------------------------------------- Associate Editor: Cartographica BinsArXiv: http://arxiv.org/a/jiang_b_1 Axwoman: http://fromto.hig.se/~bjg/axwoman/ Geomatics: http://fromto.hig.se/~bjg/geomaticsprogram/ RG: https://www.researchgate.net/profile/Bin_Jiang3
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Högskolan i Gävle, 801 76 Gävle • 026 64 85 00 • www.hig.se För en hållbar livsmiljö för människan University of Gävle, SE-801 76 Gävle, Sweden • +46 (0) 26 64 85 00 • www.hig.se |