Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward
G Sofia - Geomorphology, 2020 - Elsevier
In recent years, the wealth of technological development revolutionised our ability to collect
data in geosciences. Due to the unprecedented level of detail of these datasets …
data in geosciences. Due to the unprecedented level of detail of these datasets …
Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS
Every year, gully erosion causes substantial damage to agricultural land, residential areas
and infrastructure, such as roads. Gully erosion assessment and mapping can facilitate …
and infrastructure, such as roads. Gully erosion assessment and mapping can facilitate …
Spatial-temporal heterogeneity of air pollution: The relationship between built environment and on-road PM2. 5 at micro scale
S Zhou, R Lin - Transportation Research Part D: Transport and …, 2019 - Elsevier
Research on the relationship between built environment and PM2. 5 has attracted notable
attention during the past decades. However, previous studies were less to test the spatial …
attention during the past decades. However, previous studies were less to test the spatial …
Gravitational spreading of mountain ridges coeval with Late Weichselian deglaciation: impact on glacial landscapes in Tröllaskagi, northern Iceland
Abstract During the Late Weichselian deglaciation, the coastal mountains of northern central
Iceland have experienced significant paraglacial readjustment processes in the form of …
Iceland have experienced significant paraglacial readjustment processes in the form of …
Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)
Suichuan is a mountainous area at the Jiangxi province in Central China, where rainfall-
induced landslides occur frequently. The purpose of this study is to assess landslide …
induced landslides occur frequently. The purpose of this study is to assess landslide …
Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features
X Luo, F Lin, Y Chen, S Zhu, Z Xu, Z Huo, M Yu… - Scientific reports, 2019 - nature.com
Landslide disasters cause huge casualties and economic losses every year, how to
accurately forecast the landslides has always been an important issue in geo-environment …
accurately forecast the landslides has always been an important issue in geo-environment …
A novel fuzzy K-nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using …
This research represents a novel soft computing approach that combines the fuzzy k-nearest
neighbor algorithm (fuzzy k-NN) and the differential evolution (DE) optimization for spatial …
neighbor algorithm (fuzzy k-NN) and the differential evolution (DE) optimization for spatial …
[HTML][HTML] Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted …
Rapid urbanization urges the immediate attention of policymakers to ensure sustainable city
development. Understanding the urban growth drivers is essential to address effective …
development. Understanding the urban growth drivers is essential to address effective …
Consideration of spatial heterogeneity in landslide susceptibility mapping using geographical random forest model
RP Quevedo, DA Maciel, TDT Uehara… - Geocarto …, 2022 - Taylor & Francis
Most previous studies of landslide susceptibility mapping (LSM) have not contemplated
spatial heterogeneity and the commonly used models for LSM are aspatial, which could …
spatial heterogeneity and the commonly used models for LSM are aspatial, which could …
Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China)
This study evaluated the geographically weighted regression (GWR) model for landslide
susceptibility mapping in Xing Guo County, China. In this study, 16 conditioning factors, such …
susceptibility mapping in Xing Guo County, China. In this study, 16 conditioning factors, such …