A ROC analysis-based classification method for landslide susceptibility maps
I Cantarino, MA Carrion, F Goerlich, V Martinez Ibañez - Landslides, 2019 - Springer
A landslide susceptibility map is a crucial tool for land-use spatial planning and
management in mountainous areas. An essential issue in such maps is the determination of …
management in mountainous areas. An essential issue in such maps is the determination of …
A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area …
This study proposed a hybrid modeling approach using two methods, support vector
machines and random subspace, to create a novel model named random subspace-based …
machines and random subspace, to create a novel model named random subspace-based …
[HTML][HTML] Assessment of water quality trends through the application of an aggregated water quality index with historical monitored data in a Mediterranean Andean …
Abstract The Water Quality Index (WQI) is an essential tool for monitoring trends, conducting
scientific research, and making informed decisions. It offers a comprehensive view of the …
scientific research, and making informed decisions. It offers a comprehensive view of the …
[HTML][HTML] Spatial-temporal evolution of agricultural land utilization benefits and tradeoffs/synergies in the Bei**g-Tian**-Hebei region
Z Yin, Y Liu, L Tang, W Zhou, Y Pan - Ecological Indicators, 2023 - Elsevier
As urbanization and industrialization accelerate, the imbalance in agricultural land use
between economic development, social security, and ecological protection becomes …
between economic development, social security, and ecological protection becomes …
[HTML][HTML] A novel index to evaluate discretization methods: A case study of flood susceptibility assessment based on random forest
The selection of a suitable discretization method (DM) to discretize spatially continuous
variables (SCVs) is critical in ML-based natural hazard susceptibility assessment. However …
variables (SCVs) is critical in ML-based natural hazard susceptibility assessment. However …
Gully erosion modeling using GIS-based data mining techniques in Northern Iran: a comparison between boosted regression tree and multivariate adaptive …
Land degradation occurs in the form of soil erosion in many regions of the world. Among the
different type of soil erosion, high sediment yield volume in the watersheds is allocated to …
different type of soil erosion, high sediment yield volume in the watersheds is allocated to …
A raster-based spatial clustering method with robustness to spatial outliers
Spatial clustering is an essential method for the comprehensive understanding of a region.
Spatial clustering divides all spatial units into different clusters. The attributes of each cluster …
Spatial clustering divides all spatial units into different clusters. The attributes of each cluster …
Projecting global drought risk under various SSP‐RCP scenarios
Drought risk assessment can identify high‐risk areas and bridge the gap between impacts
and adaptation. It is thus vital to investigate changes in drought risk and exposed social …
and adaptation. It is thus vital to investigate changes in drought risk and exposed social …
Identification of backward district in India by applying the principal component analysis and fuzzy approach: A census based study
T Basu, A Das - Socio-Economic Planning Sciences, 2020 - Elsevier
India is a large country with several axes of inequality. Among the various axes of inequality,
the regional disparity is the prominent one. This study aims to find out the most backward …
the regional disparity is the prominent one. This study aims to find out the most backward …
Evaluating the effectiveness and robustness of machine learning models with varied geo-environmental factors for determining vulnerability to water flow-induced …
Assessing and map** the vulnerability of gully erosion in mountainous and semi-arid
areas is a crucial field of research due to the significant environmental degradation …
areas is a crucial field of research due to the significant environmental degradation …