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Empowering open science with reflexive and spatialised indicators JOURNAL ARTICLE published February 2021 in Environment and Planning B: Urban Analytics and City Science |
Painting with Data: Visually based open-source tool for geo-computing JOURNAL ARTICLE published November 2023 in Environment and Planning B: Urban Analytics and City Science Research funded by Massachusetts Institute of Technology (Sandbox Innovation Fund) |
The Michael Breheny Prize 2023 JOURNAL ARTICLE published November 2023 in Environment and Planning B: Urban Analytics and City Science |
Urban land use transitions: Examining change over 19 years using sequence analysis. The case of South-East Queensland, Australia JOURNAL ARTICLE published November 2023 in Environment and Planning B: Urban Analytics and City Science |
A clustering-based approach to quantifying socio-demographic impacts on urban mobility patterns JOURNAL ARTICLE published November 2023 in Environment and Planning B: Urban Analytics and City Science |
Development of a planning support system to evaluate transit-oriented development masterplan concepts for optimal health outcomes JOURNAL ARTICLE published November 2022 in Environment and Planning B: Urban Analytics and City Science Research funded by Healthway (32892) |
Favelas 4D: Scalable methods for morphology analysis of informal settlements using terrestrial laser scanning data JOURNAL ARTICLE published November 2022 in Environment and Planning B: Urban Analytics and City Science |
Regions from the ground up: a network partitioning approach to regional delineation JOURNAL ARTICLE published June 2020 in Environment and Planning B: Urban Analytics and City Science |
COVID and cities – A new demon that points at old problems: How can research help? JOURNAL ARTICLE published September 2020 in Environment and Planning B: Urban Analytics and City Science |
Data imputation in a short-run space-time series: A Bayesian approach JOURNAL ARTICLE published September 2018 in Environment and Planning B: Urban Analytics and City Science |
A navigability entropy model for street networks JOURNAL ARTICLE published October 2023 in Environment and Planning B: Urban Analytics and City Science |
Ian Foster, Rayid Ghani, Ron S Jarmin, et al. (eds), Big data and social science: A practical guide to methods and tools JOURNAL ARTICLE published March 2018 in Environment and Planning B: Urban Analytics and City Science |
Professor Ronald John Johnston OBE, FAcSS, FBA (1941–2020) JOURNAL ARTICLE published July 2020 in Environment and Planning B: Urban Analytics and City Science |
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision JOURNAL ARTICLE published January 2021 in Environment and Planning B: Urban Analytics and City Science |
Integrating spatial multi-criteria evaluation into the potential analysis of culture-led urban development – A case study of Tainan JOURNAL ARTICLE published January 2022 in Environment and Planning B: Urban Analytics and City Science |
A Python package for the local multiscale analysis of spatial point processes (LomPy) JOURNAL ARTICLE published March 2024 in Environment and Planning B: Urban Analytics and City Science |
Comparing the urban form of South European cities using fractal dimensions JOURNAL ARTICLE published September 2020 in Environment and Planning B: Urban Analytics and City Science |
Proximity of public schools to major highways and industrial facilities, and students’ school performance and health hazards JOURNAL ARTICLE published March 2018 in Environment and Planning B: Urban Analytics and City Science |
Impact of bicycle highways on commuter mode choice: A scenario analysis JOURNAL ARTICLE published May 2020 in Environment and Planning B: Urban Analytics and City Science Research funded by German Excellence Initiative and the European Union Seventh Framework Programme (291763) |
Exploring the plot patterns of the retail landscape: The case of the Helsinki Metropolitan area JOURNAL ARTICLE published 8 November 2023 in Environment and Planning B: Urban Analytics and City Science |