Results 101 to 110 of about 21,210 (233)
ABSTRACT Rising sea levels and salinity intrusion increasingly threaten rice farming in Vietnam's Mekong Delta. Using a district‐level panel dataset from 2000 to 2020, this study examines the impacts of salinity on Winter–Spring rice yields and acreage and how farmers adapt to salinity risk.
Huong Nguyen +3 more
wiley +1 more source
In low-relief agricultural areas, crop cover makes it challenging to obtain remotely sensed bare soil spectral data for predicting soil texture. Therefore, this study proposed a method for predicting soil texture using crop growth information with ...
Fei Wang +8 more
doaj +1 more source
We compared genetic diversity and spatial genetic structure in the snapping turtle (Chelydra serpentina; left panel), Blanding's turtle (Emydoidea blandingii; bottom right), and spotted turtle (Clemmys guttata; top right) sampled in areas of co‐occurrence across ~49,160 km2.
Christina M. Davy +3 more
wiley +1 more source
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
Analyzing geological profiles is of great importance for various applications such as natural resource management, environmental assessment, and mining engineering projects.
Qile Ding +7 more
doaj +1 more source
Study region: The state of Ohio in the United States, a humid, continental climate. Study focus: The estimation of nonexceedance probabilities of daily streamflows as an alternative means of establishing the relative magnitudes of streamflows associated ...
William H. Farmer, G.F. Koltun
doaj +1 more source
Kriging for Interpolation in Random Simulation [PDF]
Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging.This technique was originally developed in geostatistics by D ...
Beers, W.C.M. van, Kleijnen, J.P.C.
core +1 more source
Improving GPU-accelerated Adaptive IDW Interpolation Algorithm Using Fast kNN Search
This paper presents an efficient parallel Adaptive Inverse Distance Weighting (AIDW) interpolation algorithm on modern Graphics Processing Unit (GPU). The presented algorithm is an improvement of our previous GPU-accelerated AIDW algorithm by adopting ...
Mei, Gang, Xu, Liangliang, Xu, Nengxiong
core +1 more source
Geographical Information Systems Principles of Ordinary Kriging Interpolator
Negreiros, J., Painho, M., Aguilar, F., & Aguilar, M. (2010). Geographical information systems principles of ordinary kriging interpolator. Journal Of Applied Sciences, 10(11), 852-867.
J. Negreiros +3 more
openaire +1 more source
On Spatial Point Processes With Composition‐Valued Marks
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source

