A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia
The frequency and severity of extremes, including extreme precipitation events, extreme
evapotranspiration and extreme water storage deficit events, are changing. Thus, the …
evapotranspiration and extreme water storage deficit events, are changing. Thus, the …
Impacts of Max-Stable Process Areal Exceedance Calculations to Study Area Sampling Density, Surface Network Precipitation Gage Extent and Density, and Model …
Max-stable process (MSP) models can be fit to data collected over a spatial domain to
estimate areal-based exceedances while accounting for spatial dependence in extremes …
estimate areal-based exceedances while accounting for spatial dependence in extremes …
Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia
H Pakdel, S Chadalavada, MJ Alam… - … International Journal of …, 2024 - mdpi.com
The severity and frequency of extremes are changing; thus, it is becoming necessary to
evaluate the impacts of land cover changes and urbanisation along with climate change. A …
evaluate the impacts of land cover changes and urbanisation along with climate change. A …
[HTML][HTML] A Spatial Risk Analysis of Springtime Daily Minimum Surface Air Temperature Values for Vineyard Site Selection: Applications to Pinot noir Grapevines …
B Skahill, B Berenguer, M Stoll - Agronomy, 2024 - mdpi.com
This study introduced the application of concepts and methods from extreme value theory
(EVT) to estimate the probability that daily minimum temperatures exceed springtime critical …
(EVT) to estimate the probability that daily minimum temperatures exceed springtime critical …
Marginal Distribution Fitting Method for Modelling Flood Extremes on a River Network
This study utilized a max-stable process (MSP) model with a dependence structure defined
via a non-Euclidean distance metric, with the goal of modelling extreme flood data on a river …
via a non-Euclidean distance metric, with the goal of modelling extreme flood data on a river …
[PDF][PDF] Data-Driven Analytical Techniques in Geographic Information Systems
M KILINÇ - researchgate.net
Geographic Information Systems (GIS) have become indispensable tools used in different
disciplines to analyze and manage spatial data. GIS applications have an important place in …
disciplines to analyze and manage spatial data. GIS applications have an important place in …