Ding Ma

Refereegranskat

• Ma, L., Seipel, S., Brandt, S. & Ma, D. (2022). A New Graph-Based Fractality Index to Characterize Complexity of Urban Form. MDPI, ISPRS International Journal of Geo-Information, 11 (5), 10.3390/ijgi11050287 [Mer information]

• Ma, D., Guo, R., Jing, Y., Zheng, Y., Zhao, Z. & Yang, J. (2021). Intra-urban scaling properties examined by automatically extracted city hotspots from street data and nighttime light imagery. MDPI, Remote Sensing, 13 (7), 10.3390/rs13071322 [Mer information]

• Ma, D., Osaragi, T., Oki, T. & Jiang, B. (2020). Exploring the heterogeneity of human urban movements using geo-tagged tweets. Taylor & Francis, International Journal of Geographical Information Science, 34 (12), (2475-2496). 10.1080/13658816.2020.1718153 [Mer information]

• Ma, D., Omer, I., Osaragi, T., Sandberg, M. & Jiang, B. (2019). Why Topology Matters in Predicting Human Activities. Sage Publications, Environment and Planning B: Urban Analytics and City Science, 46 (7), (1297-1313). [Mer information]

• Ma, D. & Jiang, B. (2018). A smooth curve as a fractal under the third definition. Cartographica, 53 (3), (203-210). [Mer information]

• Jiang, B. & Ma, D. (2018). How complex is a fractal?. Journal of Geovisualization and Spatial Analysis, 2 (1), 10.1007/s41651-017-0009-z [Mer information]

• Ma, D., Sandberg, M. & Jiang, B. (2017). A Socio-Geographic Perspective on Human Activities in Social Media. Geographical Analysis, 49 (3), (328-342). [Mer information]

• Jiang, B., Ma, D., Yin, J. & Sandberg, M. (2016). Spatial Distribution of City Tweets and Their Densities. Geographical Analysis, 48 (3), (337-351). [Mer information]

• Ma, D., Sandberg, M. & Jiang, B. (2015). Characterizing the Heterogeneity of the OpenStreetMap Data and Community. ISPRS International Journal of Geo-Information, 4 (2), (535-550). 10.3390/ijgi4020535 [Mer information]

• Jiang, B. & Ma, D. (2015). Defining least community as a homogeneous group in complex networks. Physica A, 428 (), (154-160). [Mer information]