A route map for successful applications of geographically weighted regression
Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of
social and environmental data. It allows spatial heterogeneities in processes and …
social and environmental data. It allows spatial heterogeneities in processes and …
Geographically weighted accuracy for hard and soft land cover classifications: 5 approaches with coded illustrations
This paper examines different geographically weighted (GW) approaches for calculating
spatially distributed measures of accuracy/uncertainty, consolidating current approaches …
spatially distributed measures of accuracy/uncertainty, consolidating current approaches …
Within-Field Yield Prediction in Cereal Crops Using LiDAR-Derived Topographic Attributes with Geographically Weighted Regression Models
Accurate yield estimation and optimized agricultural management is a key goal in precision
agriculture, while depending on many different production attributes, such as soil properties …
agriculture, while depending on many different production attributes, such as soil properties …
[HTML][HTML] A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps
Over the past decade, several global maps of above-ground biomass (AGB) have been
produced, but they exhibit significant differences that reduce their value for climate and …
produced, but they exhibit significant differences that reduce their value for climate and …
Combining multi-sensor satellite imagery to improve long-term monitoring of temporary surface water bodies in the Senegal river floodplain
Accurate monitoring of surface water bodies is essential in numerous hydrological and
agricultural applications. Combining imagery from multiple sensors can improve long-term …
agricultural applications. Combining imagery from multiple sensors can improve long-term …
Operational large-area land-cover map**: an Ethiopia case study
Knowledge of land cover and land use nationally is a prerequisite of many studies on drivers
of land change, impacts on climate, carbon storage and other ecosystem services, and …
of land change, impacts on climate, carbon storage and other ecosystem services, and …
Elucidating the performance of hybrid models for predicting extreme water flow events through variography and wavelet analyses
Accurate prediction of extreme flow events is important for mitigating natural disasters such
as flooding. We explore and refine two modelling approaches (both separately and in …
as flooding. We explore and refine two modelling approaches (both separately and in …
時系列 Landsat 画像を用いた九州本島における毎年の伐採推定
志水克人， 太田徹志， 溝上展也 - 日本森林学会誌, 2020 - jstage.jst.go.jp
抄録 時系列 Landsat 画像を用いた伐採推定の利用可能性を明らかにするため,
九州本島における毎年の伐採面積と時空間的分布を推定し, その精度を評価した. 毎年の Landsat …
九州本島における毎年の伐採面積と時空間的分布を推定し, その精度を評価した. 毎年の Landsat …
Map** Fragmented Impervious Surface Areas Overlooked by Global Land-Cover Products in the Li** County, Guizhou Province, China
J Zhao, N Tsutsumida - Remote Sensing, 2020 - mdpi.com
Imperviousness is an important indicator for monitoring urbanization and environmental
changes, and is evaluated widely in urban areas, but not in rural areas. An accurate …
changes, and is evaluated widely in urban areas, but not in rural areas. An accurate …
gwpcorMapper: an interactive map** tool for exploring geographically weighted correlation and partial correlation in high-dimensional geospatial datasets
Exploratory spatial data analysis (ESDA) plays a key role in research that includes
geographic data. In ESDA, analysts often want to be able to visualize observations and local …
geographic data. In ESDA, analysts often want to be able to visualize observations and local …