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Geospatial big data handling theory and methods: A review and research challenges
Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …
attention of academia, industry, government and other organizations. Big data can be …
Principles and methods of scaling geospatial Earth science data
The properties of geographical phenomena vary with changes in the scale of measurement.
The information observed at one scale often cannot be directly used as information at …
The information observed at one scale often cannot be directly used as information at …
The impact of the COVID-19 pandemic on people's mobility: A longitudinal study of the US from March to September of 2020
This paper examines changes in people's mobility over a 7-month period (from March 1st to
September 30th, 2020) during the COVID-19 pandemic in the US using longitudinal models …
September 30th, 2020) during the COVID-19 pandemic in the US using longitudinal models …
The limits of the neighborhood effect: contextual uncertainties in geographic, environmental health, and social science research
This article draws on recent studies to argue that researchers need to be attentive to the
limits of the neighborhood effect as conventionally understood. It highlights the complexities …
limits of the neighborhood effect as conventionally understood. It highlights the complexities …
Future accessibility impacts of transport policy scenarios: Equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro
The accessibility impacts of transport projects ex-post implementation are generally
evaluated using cumulative opportunity measures based on a single travel time threshold …
evaluated using cumulative opportunity measures based on a single travel time threshold …
Accelerating ethics, empathy, and equity in geographic information science
Science has traditionally been driven by curiosity and followed one goal: the pursuit of truth
and the advancement of knowledge. Recently, ethics, empathy, and equity, which we term …
and the advancement of knowledge. Recently, ethics, empathy, and equity, which we term …
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions
Geospatial artificial intelligence (GeoAI) has emerged as a subfield of GIScience that uses
artificial intelligence approaches and machine learning techniques for geographic …
artificial intelligence approaches and machine learning techniques for geographic …
The impacts of the modifiable areal unit problem (MAUP) on social equity analysis of public transit reliability
This study aims to examine the degree to which the results of social equity analysis on
public transit reliability are sensitive to the choice of spatial unit of analysis (ie, modifiable …
public transit reliability are sensitive to the choice of spatial unit of analysis (ie, modifiable …
Coevolution of extreme sea levels and sea‐level rise under global warming
Abstract Design of coastal defense structures like seawalls and breakwaters can no longer
be based on stationarity assumption. In many parts of the world, an anticipated sea‐level …
be based on stationarity assumption. In many parts of the world, an anticipated sea‐level …
Beyond residential segregation: A spatiotemporal approach to examining multi-contextual segregation
Segregation is an ongoing social problem in major US cities. One may argue that there are
some positive aspects of racial/ethnic segregation, such as maintaining ethnic communities …
some positive aspects of racial/ethnic segregation, such as maintaining ethnic communities …