由于对地观测技术的迅速发展, 空间数据的种类和数量增长迅猛, 由空间数据反演得到的各种
信息日趋膨胀, 这些反演结果中的信息不少以软数据的形式出现. 在实际应用中 …

Exposure to wildfire smoke causes adverse health outcomes, suggesting the importance of
accurately estimating smoke concentrations. Geostatistical methods can combine observed …

The altimeter radar backscatter cross-section is known to be related to the ocean surface
wave mean square slope statistics, linked to the mean surface acceleration variance …

Background African trypanosomiasis is a tsetse-borne parasitic infection that affects
humans, wildlife, and domesticated animals. Tsetse flies are endemic to much of Sub …

The pressing problem of Phoenix's urban heat island (UHI) has spawned numerous
academic studies of the spatiotemporal nature of this physical process and its relationship to …

Objective: Injuries among pedestrians are a major public health concern in Colombian cities
such as Cali. This is one of the first studies in Latin America to apply Bayesian maximum …

Prediction of particulate matter concentrations is of particular interest in the field of air
pollution control. We focus on the spatio-temporal geostatistical approach to predicting …

The prime focus of this work is the comparative investigation, theoretical and numerical, of
spatiotemporal techniques used in air pollution studies. Space‐time statistics techniques are …

The space/time distribution of PM10 in Thailand is modeled using the Bayesian maximum
entropy (BME) method of modern spatiotemporal geostatistics. Three kinds of BME …

This work proposes a space/time estimation method for atmospheric PM 2.5 components by
modelling the mass fraction at a selection of space/time locations where the component is …