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Bucknell/Local Interest Crisis-Mapping Events/Calendar General GIS GIS by Academic Discipline GIScience, Pedagogy & Spatial Thinking Slideshow

Peer-reviewed articles on spatial thinking & GIS

Diana Sinton, Director of Spatial Curriculum and Research for the University of RedlandsLENS Initiative, recently tipped me off to a website with full-text PDFs of peer-reviewed papers that are being presented this week at the Spatial Thinking & GIS conference being held in Tokyo, Japan.  The papers  (including one from GIS Hall of Fame-r – yes, there is such a thing – Michael Goodchild from UCSB) cover a variety of topics related to spatial thinking and GIS. Quite a few of them present methods for integrating spatial thinking and GIS into different disciplines in the higher ed curriculum.

Click here to browse the paper abstracts and download free, full-text copies. I’ve also downloaded all of the papers to the GIS Server – contact me at jlg046@bucknell.edu if you don’t yet have access to the server. Below is a list of the paper titles.

  • Spatial Thinking & the GIS User Interface (Michael Goodchild)
  • Modeling and Simulation in Geographic Information Science: Integrated Models and Grand Challenges (Michael Batty)
  • Understanding and nurturing spatial literacy (Sarah Witham Bednarz, Karen Kemp)
  • Collaborative mobility: using geographic information science to cultivate cooperative transportation systems (Harvey J. Millera)
  • About the International Master‘s Program in Cartography (Jukka Krisp, Stefen Peters, Liqiu Meng)
  • Addressing Structural Instability in Housing Market Segmentation of the Used Houses of Tokyo, Japan (Kazi Saiful Islam, Yasushi Asami)
  • Analysis of Scenic Perception and Its Spatial Tendency: Using Digital Cameras, GPS loggers, and GIS (Koun Sugimoto)
  • An Approach to Modeling Spatial Perception for Geovisualization (Kenan Bektaş, Arzu Çöltekin)
  • Assessing College Students’ Spatial Concept Knowledge in Complexity Levels (Katsuhiko Oda)
  • Beyond geo-spatial technologies: promoting spatial thinking through local disaster risk management planning (Kristoffer B. Berse, Fouad Bendimerad, Yasushi Asami)
  • Classification and feature extraction of criminal occurrence points using CAEP with transductive clustering (Atushi Takizawa)
  • A Collaborative Process for Developing Map Symbol Standards (Anthony C. Robinson, Robert E. Roth, Justine Blanford, Scott Pezanowski, Alan M. MacEachren)
  • The components of spatial thinking: empirical evidence (Robert S. Bednarz, Jongwon Lee)
  • Ecotourism Development and Security Restructuring: A GI Based Planning for Peaceful Dissuasion of Anarchism in Forest Provinces of India (Abhisek Chakrabarty)
  • Effectiveness of Digital Educational Materials for Developing Spatial Thinking of Elementary School Students (Minori Yuda)
  • Empirical Comparison of the Various Spatial Prediction Models: in Spatial Econometrics, Spatial Statistics, and Semiparametric Statistics (Hajime Seya, Morito Tsutsumi, Yasushi Yoshida, Yuichiro Kawaguchi)
  • Enable Spatial Thinking Using GIS and Satellite Remote Sensing – A Teacher-Friendly Approach (Yick Cheung, Matthew Pang, Hui Lin, Chi Kin John Lee)
  • Geographic Information Science: Building a Doctoral Programme Integrating Interdisciplinary Concepts and Methods (Thomas Blaschke, Josef Strobl, Karl Donert)
  • Hedonic Analysis for Estimation of Condominium Rent Utilizing WEB Information (Takafumi Miura, Yasuhi Asami)
  • Implementation of a Flow Map Demonstrator for Analyzing Commuting and Migration Flow Statistics Data (Quan Ho, Phong H. Nguyen, Tobias Åström, Mikael Jern)
  • The Implications of Using a Gravity Model to Determine Territory in a Circular Domain (Hidenori Tamagawa)
  • Importance of considering grain and extent for the analysis on spatial dynamics: perspectives from comparison between theory and empirical example on seagrass bed dynamics in Tokyo Bay (Takehisa Yamakita, Masahiro Nakaoka)
  • Intraregional Flow Problem in Spatial Econometric Model for Origin-destination Flows (Morito Tsutsumi, Kazuki Tamesue)
  • Land price maps of Tokyo Metropolitan Area (Morito Tsutsumi, Akira Shimada, Daisuke Murakami)
  • Land use/cover change detection and analysis for Dzalanyama forest reserve, Lilongwe, Malawi (Kondwani G. Munthali, Yuji Murayama)
  • Land use land cover change in National Capital Region of India: A remote sensing & GIS based two decadal spatial-temporal analyses (Kianoush Suzanchi, Ravinder Kaur)
  • MeAdian robust spatial filtering on satellite images (Didier Josselin, Julio Rojas-Mora, Alexandre Ulmer)
  • A New Areal Interpolation Method Based on Spatial Statistics (Daisuke Murakami, Morito Tsutsumi)
  • Optimizing the groundwater monitoring network using MSN theory (Yangsha Guo, J.F. Wang, X.L. Yin)
  • Scenarios and Indicators Supporting Urban Regional Planning (Petrov Laura Oana, Shahunyan Harutyun, Williams Brendan, Convery Sheila)
  • Sequencing spatial concepts in problem-based GIS instruction (Jeffrey T. Howarth, Diana Sinton)
  • Shocks, spillovers and the location of firms (Andrés Artal-Tur, José Miguel Navarro-Azorín, Luisa Alamá-Sabater, Antonio García-Sánchez)
  • Site Suitability Evaluation for Ecotourism Using GIS & AHP: A Case Study of Surat Thani Province, Thailand (Khwanruthai Bunruamkaew, Yuji Murayam)
  • Spatial concentrations of surnames in Great Britain (James Cheshire, Paul Longley)
  • Spatial index of educational opportunities: Rio de Janeiro and Belo Horizonte (Wolfram Lange, Fatima Alves)
  • Spatial Literacy and the Postgraduate GIS Curriculum (Claire H. Jarvis)
  • Spatial mismatch problem of childcare in Tokyo (Mizuki Kawabata)
  • Spatial thinking in geographic information science: a review of past studies and prospects for the future (Yoshiki Wakabayashi, Toru Ishikawa)
  • Spatiotemporal Types of HFMD and Climate (JF Wang, G Christakos, YS Guo, WZ Yang, YL Liao, XZ Wang)
  • Spatio-Temporal Clustering of Road Accidents: GIS Based Analysis and Assessment (V. Prasannakumar, H. Vijith, R. Charutha, N. Geetha)
  • Spatio-Temporal Urban Land Use/Cover Change Analysis in a Hill Station: The Case of Baguio City, Philippines (Ronald C. Estoque, Yuji Murayama)
  • Stability tests of urban physical form indicators: The case of European cities (Amon Boontore)
  • Techniques for Highlighting Relief on Orthoimaginery (Miguel A. Bernabé-Poveda, Iván Sánchez-Ortega, Arzu Çöltekin)
  • The Use of Geospatial Information and Spatial Cognition of Taxi Drivers in Tokyo (Yoshiki Wakabayashi, Shuichi Itoh, Yota Nagami)
  • Using GIS for Linguistic Study: A Case of Dialect Change in the Northeastern Region of Thailand (Sirivilai Teerarojanarat, Kalaya Tingsabadh)
  • Using video case studies to assess the impact of the use of GIS on secondary students’ spatial thinking skills Robert (A. Kolvoord, David H. Uttal, Nathaniel G. Meadow)
  • Visualization through GIS of Residents’ Conscious, Attitude and Activities to Prevent Disasters (Masahiro Arima, Michitaka Arima)
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Bucknell/Local Interest Digital Humanities General GIS GIS in History GIS in Humanities Slideshow Videos

Digital Gazetteer of the Song Dynasty

There are a million reasons I can think of for wanting to be in Santa Barbara, CA this week but one of them is that I’d love to attend UC Santa Barbara’s ‘Think Spatial’ forum. This week’s presentation features Ruth Mostern from UC Merced discussing her use of Google Earth for teaching undergraduate history courses. In Mostern’s upper division history course about the Silk Road, students read travel narratives and then use Google Earth to create digital atlases about their travelers’ journeys.  Here’s a short video that showcases some of her students’ work:

httpv://www.youtube.com/watch?v=_7I2BJBrLAU

Mostern also makes extensive use of GIS in her research and is co-author of the Digital Gazetteer of the Song Dynasty. The website includes maps and downloadable data for counties and prefectures of the Song Dynasty. A sample map from the gazetteer is shown below.

“This map depicts the ratio of cantons to counties based on the data in the Song history. There is no county-level population data for the Song. The number of cantons in a county is the best proxy for its population. Red areas have a large number of cantons, and blue areas have a small number.”