Results 1 to 10 of about 74,021 (49)
Lockdown lifted: measuring spatial resilience from London’s public transport demand recovery
Geo-spatial Information Science, 2023 The disruptive effects of the COVID-19 pandemic has rapidly shifted how individuals navigate in cities. Governments are concerned that travel behavior will shift toward a car-driven and homeworking future, shifting demand away from public transport use ...
Divya Sharma, Chen Zhong, Howard Wong
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Clustering and Visualising Documents using Word Embeddings
The Programming Historian, 2023 This lesson uses word embeddings and clustering algorithms in Python to identify groups of similar documents in a corpus of approximately 9,000 academic abstracts.
Jonathan Reades, Jennie Williams
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Uncovering structural diversity in commuting networks: global and local entropy
Scientific Reports, 2022 In this paper we revisit the concept of mobility entropy. Over time, the structure of spatial interactions among urban centres tends to become more complex and evolves from centralised models to more scattered origin and destination patterns.
Valentina Marin +2 more
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SPATIAL DATA QUALITY EVALUATION FOR LAND COVER CLASSIFICATION APPROACHES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Data gaps and poor data quality may lead to flawed conclusions and data-driven policies and decisions, such as the measurement of Sustainable Development Goals progress.
M. Salhab, A. Basiri
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AN OPEN-SOURCE CANOPY CLASSIFICATION SYSTEM USING MACHINE-LEARNING TECHNIQUES WITHIN A PYTHON FRAMEWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Studying deforestation has been an important topic in forestry research. Especially, canopy classification using remotely sensed data plays an essential role in monitoring tree canopy on a large scale.
O. Smith, H. Cho
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EXPLORING SIMILARITIES AND VARIATIONS OF HUMAN MOBILITY PATTERNS IN THE CITY OF LONDON [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The availability of new spatial data represents an unprecedented opportunity to better understand and plan cities. In particular, extensive data sets of human mobility data supply new information that can empower urbanism research to unveil how people ...
P. Sulis, E. Manley
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A bi-directional approach to comparing the modular structure of networks
EPJ Data Science, 2021 Here we propose a new method to compare the modular structure of a pair of node-aligned networks. The majority of current methods, such as normalized mutual information, compare two node partitions derived from a community detection algorithm yet ignore ...
Daniel Straulino +2 more
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ASSESSING THE SIMILARITIES OF 3D SIMULATION MODEL OUTCOMES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 The recent advancement of simulation modeling to represent phenomena in three spatial dimensions (3D) requires the development of techniques that will allow comparison of the modeling outputs in multiple dimensions.
A. K. Smith, S. Dragićević
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The nested structure of urban business clusters
Applied Network Science, 2020 Although the cluster theory literature is bountiful in economics and regional science, there is still a lack of understanding of how the geographical scales of analysis (neighbourhood, city, region) relate to one another and impact the observed ...
Clémentine Cottineau, Elsa Arcaute
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Geocarto International, 2023 Unaddressed imbalance of multitemporal land cover (LC) data reduces deep learning (DL) model usefulness to forecast changes. To manage geospatial data imbalance, there is a lack of specialized cost-sensitive learning strategies available.
Alysha van Duynhoven +1 more
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