Research and Publications

Research Interests


My current research interests involve the followings, all related to the field of geographic information science and geoinformatics:

  1. Three-dimensional GIS: Geospatial techniques in three-dimensional (3D) model development, automation, and its integration with sensor data for smart city applications.
  2. Geo-spatial humanity and historical GIS: The use of geospatial information technologies in encoding, analyzing, and understanding spatiotemporal patterns and correlations between geographic phenomena.
  3. Applications of GIS/remote sensing: The use of GIS and remote sensing as decision support tools in issues concerning land use/cover changes, public health, and travel behaviors of people in built environments.

To advance the theories, tools, and applications in these three main research directions, my research generally investigates the various use of artificial intelligence tools, including machine learning, (spatial) ontology, natural language processing, and knowledge system, in facilitating data fusion for advancing understanding of the geographic patterns.

Recent Publications (refereed)


(For the complete list of publications, see my CV or Google Scholar)

Research ID | Google Scholar | CV

2018

Feng C-C, Lin S, Sidaway J, Hawkins H, Jefferson B, Lin W, O’Sullivan D, Pavlovskaya M, Shelton T, Sui D, Tsou M-H, Wilson M (accepted) Author meet critics on New Lines: Critical GIS and the trouble of the map. Transactions in GIS

Kim, I-K, Pow C P, Wang Y-C, and Feng C-C 2018 Competing space and place identity with landscape change analysis using Web GIS through Singapore historical maps (1828-2015). Singapore Journal of Tropical Geography. doi:10.1111/sjtg.12263

Cui N, Feng C-C, Wang D, Li J, and Guo L 2018 The effects of rapid urbanization on forest landscape connectivity in Zhuhai City, China. Sustainability, 10(10), 3381, http://www.mdpi.com/2071-1050/10/10/3381

Wang Y-C, Hu B K H, Myint S W, Feng C-C, Chow W T L, Passy P F 2018 Patterns of land change and their potential impacts on land surface temperature change in Yangon, Myanmar. Science of The Total Environment 643, 738-750

Sng T-H, Chia P Z, Feng C-C, and Wang Y-C 2018 Are China’s provincial boundaries misaligned? Applied Geography, 98, 52-65

Feng C-C and Guo Z 2018 Automating Parameter Learning for Classifying Terrestrial LiDAR Point Cloud Using 2D Land Cover Maps. Remote Sensing, 10(8), 1192, http://www.mdpi.com/2072-4292/10/8/1192

Yan Y, Kuo C-L, Feng C-C, Huang W, Fan H, Zipf A 2018 Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists. International Journal of Geographical Information Science, 1-38

Wang X, Du S, Feng C-C, Zhang X, Zhang X 2018 Interpreting the fuzzy semantics of natural-language spatial relation terms with the fuzzy random forest algorithm.  ISPRS International Journal of Geo-Information 7 (2), 58, http://www.mdpi.com/2220-9964/7/2/58

2017

Kim I-K, Feng C-C, Wang Y-C, Spitzberg B, and Tsou M-H 2017 Exploratory spatial temporal analysis in risk communication during the MERS outbreak in South Korea. The Professional Geographer, 69(4): 629-643

Feng C-C and Mark D M 2017 Cross-Linguistic Research on Landscape Categories using GEOnet Names Server Data: A Case Study for Indonesia and Malaysia. The Professional Geographers, 69(4): 567-578

Yan Y, Feng C-C, and Chang KTT 2017 Toward Enhancing Integrated Pest Management Based on Volunteered Geographic Information. International Journal of Geo-Information, 6(7), 224, http://www.mdpi.com/2220-9964/6/7/224/htm

Wang Y-C, Yuen R, Feng C-C, Sithithaworn P, and Kim I-K 2017 Assessing the Role of Landscape Connectivity on Opisthorchis viverrini Transmission Dynamics. Parasitology International, 66(4), 402-412 [DOI: 10.1016/j.parint.2016.06.002]

Yan Y, Feng C-C, and Wang Y-C 2017 Utilizing Fuzzy Set Theory to Assure the Quality of Volunteered Geographic Information. GeoJournal, 82(3), 517-532 [DOI: 10.1007%2Fs10708-016-9699-x]

Yan Y, Wang Y-C, Feng C-C, Wan P-H, and Chang T-T 2017 Potential distributional changes of invasive crop pest species associated with global climate change. Applied Geography, 82, 93-92

Kim I-K, Feng C-C, and Wang Y-C 2017 A simplified linear feature matching method using decision tree analysis, weighted linear directional mean, and topological relationships. International Journal of Geographic Information Science, 31(5): 1042-1060 [DOI: 10.1080/13658816.2016.1267736]

Du S, Wang X, Feng C-C, and Zhang X 2017 Classifying Natural-Language Spatial Relation Terms with Random Forest Algorithm. International Journal of Geographic Information Science, 31(3): 542-568 [DOI: 10.1080/13658816.2016.1212356]

2016

Kim I-K, Huang J, Wang Y-C, Feng C-C, and Taylor D 2016 Developing Geoportals and Applications for Singapore Historical GIS. Journal of Asian Network of GIS-Based Historical Analysis, 4. 11-19

Song S, Mi D, and Feng C-C, 2016, Individual Transport Emissions and the Built Environment: A Structural Equation Modelling Approach. Transportation Research Part A: Policy and Practice, 92, 206-219

Xie J and Feng C-C, 2016, An Integrated Simplification Approach for 3D Buildings with Sloped and Flat Roofs. International Journal of Geo-Information, 5, 128 [link]

Du S, Su M, and Feng C-C, 2016, Representation and Discovery of Building Patterns: A Three-Level Relational Approach. International Journal of Geographic Information Science, 30(6), 1161-1186

2015

Du S, Feng C-C, and Lou G, 2015, Integrative Representation and Inference of Qualitative Locations about Points, Lines, and Polygons. International Journal of Geographic Information Science, 29(6), 980-1006

Wang Y-C, Ho R C Y, Feng C-C, Namsanor J, and Sithithaworn P, 2015, An Ecological Study of Bithynia snails, the First Intermediate Host of Opisthorchis viverrini in northeast Thailand. Acta Tropica, 141 Part B, 244-252

Kim I K, M Tsou, and Feng C-C, 2015, Design and Implementation Strategy of a Parallel Agent-Based Schelling Model. Computers, Environment, and Urban Systems, 49, 30-41

Yan Y, Feng C-C, Wan M P-H, and Chang K T-T, 2015, Multiple Regression and Artificial Neural Network for the Prediction of Crop Pest Risks. In ISCRAM-MED 2015, N B Ben Saoud, C Adam, C Hanachi (Eds.), Lecture Note in Business Information Processing (LNBIP) 233, Springer, Switzerland, 73-84.