[HTML][HTML] Application of GIS and machine learning to predict flood areas in Nigeria

EH Ighile, H Shirakawa, H Tanikawa - Sustainability, 2022 - mdpi.com
Floods are one of the most devastating forces in nature. Several approaches for identifying
flood-prone locations have been developed to reduce the overall harmful impacts on …

Spatial and temporal variation of annual and categorized precipitation in the Han River Basin, South Korea

SA Shah, M Jehanzaib, MJ Kim, DY Kwak… - KSCE Journal of Civil …, 2022 - Springer
The effects of variations in annual, seasonal, and extreme precipitation in the Han River
Basin (HRB) were explored using innovative trend analysis, Spearmen's rho test, and Mann …

[HTML][HTML] Religion and ecology: A pilot study employing the database of religious history

R Spicer, MW Monroe, M Hamm, A Danielson… - Current Research in …, 2022 - Elsevier
High gods have been found to be associated with resource stress and climate stability in
ethnographic samples. In this research we aimed to replicate these analyses, using data …

Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data

F Khan, G Spöck, YA Liou, S Ali - Environmental Science and Pollution …, 2024 - Springer
Precipitation extremes have surged in frequency and duration in recent decades,
significantly impacting various sectors, including agriculture, water resources, energy, and …

[HTML][HTML] Climate variability, drought, and the belief that high gods are associated with weather in nonindustrial societies

CR Ember, I Skoggard, B Felzer… - … , Climate, and Society, 2021 - journals.ametsoc.org
All societies have religious beliefs, but societies vary widely in the number and type of gods
in which they believe as well as their ideas about what the gods do. In many societies, a god …

How global change impacted the rise and fall of the Guge Kingdom

L Han, X Wang, Z Hao, J Zheng, D Li… - Environmental …, 2022 - iopscience.iop.org
Climate changes and its influences on human society are of increasing concern in science
communities. Based on the reconstructed climate data and CENTURY model, we simulated …

Predictors of land privatization: cross‐cultural tests of defendability and resource stress theory

CR Ember, TA Adem, T Brougham… - American …, 2020 - Wiley Online Library
We have known for some time that complex societies are more likely to have land tenure
systems based on private rights and less likely to have communal ownership. Less …

Predicting the Past: Imputation of Historical Data

Research using historical data is becoming more common across the social sciences.
However, approaches using historical data suffer from a more acute missing data problem …

[HTML][HTML] Participatory mapping with high-resolution satellite imagery: a mixed method assessment of land degradation and rehabilitation in northern Burkina Faso

CT West, AJ Moody, EKI Nébié - Journal of ecological …, 2020 - ncbi.nlm.nih.gov
Abstract Sahelian West Africa is a region that suffers from high population densities, frequent
severe droughts, and enormous pressure on natural resources. Because of these …

[PDF][PDF] Study on the Application of GIS and Machine Learning to Predict Flood Areas in Nigeria. Sustainability 2022, 14, 5039

EH Ighile, H Shirakawa, HA Tanikawa - 2022 - pdfs.semanticscholar.org
Floods are one of the most devastating forces in nature. Several approaches for identifying
flood-prone locations have been developed to reduce the overall harmful impacts on …