Ridesourcing, or on-demand ridesharing, is quickly changing today's travel. Recently,
research has linked socio-demographics to ridesourcing use. However, little of the research …

This paper reflects on a number of trends towards a more open and reproducible approach
to geographic and spatial data science over recent years. In particular, it considers trends …

Accurate forest above-ground biomass (AGB) is crucial for sustaining forest management
and mitigating climate change to support REDD+ (reducing emissions from deforestation …

Traffic crashes can be spatially correlated events and the analysis of the distribution of traffic
crash frequency requires evaluation of parameters that reflect spatial properties and …

Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest
management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) …

Geographically weighted regression (GWR) is a classic and widely used approach to model
spatial non-stationarity. However, the approach makes no precise expressions of its …

This paper presents a spatial clustering method for macro-level traffic crash analysis based
on open source point-of-interest (POI) data. Traffic crashes are discrete and non-negative …

The present regression models in digital soil mapping usually assume that relationships
between soil properties and environmental variables are always fixed (as in MLR) or varying …

Accurate and effective mapping of forest aboveground biomass (AGB) in heterogeneous
mountainous regions is a huge challenge but an urgent demand for resource managements …

Noise maps based on sound pressure levels are limited in accurately representing how
people perceive the sound environment. As a complementary approach to noise maps …