Results 71 to 80 of about 2,873,804 (259)

Geographically weighted regression random forest for modeling soil particles

open access: yesJournal of Nigerian Society of Physical Sciences
Clay particles play a vital role in determining soil quality, particularly in the fields of agriculture and conservation. However, the complex and non-linear spatial distribution of clay particles is difficult to capture using conventional modeling ...
Atiek Iriany   +3 more
doaj   +1 more source

Defining a geographically weighted regression model of urban evolution. Application to the city of Volos, Greece [PDF]

open access: yes
The main objective of this paper is the multivariate analysis of urban space and specifically with the use of data that refer to the level of city block.
Kerasia Milaka, Yorgos Photis
core  

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

open access: yesAdvanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais   +32 more
wiley   +1 more source

Revolutionising Agricultural Sustainability: New ‘Furrow Tillage’ can Mitigate Short‐Term Soil‐to‐Atmosphere CO2 Flux and Promote Soil‐Plant‐Microbe Health

open access: yesAdvanced Science, EarlyView.
Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar   +10 more
wiley   +1 more source

A CUDA-Based Parallel Geographically Weighted Regression for Large-Scale Geographic Data

open access: yesISPRS International Journal of Geo-Information, 2020
Geographically weighted regression (GWR) introduces the distance weighted kernel function to examine the non-stationarity of geographical phenomena and improve the performance of global regression.
Dongchao Wang   +5 more
doaj   +1 more source

Transposable Element–Driven PIEZO Mutation Enhances Locust Flight in Plateau Hypoxia

open access: yesAdvanced Science, EarlyView.
Why transposable elements (TEs) persisted or expanded in genomes remains a mystery. Using integrated analysis of TE macro‐ and microevolution in locusts, our results showed that thousands of TE insertions promoted widespread adaptive variation. Subfamilies of candidate adaptive TEs amplified and reshaped species‐level genomic architecture.
Xuanzhao Li   +8 more
wiley   +1 more source

A Mixed Geographically Weighted Approach to Decoupling and Rural Development in the EU-15 [PDF]

open access: yes
The CAP reform and the recent EC communication aimed at preparing its Health Check emphasise the need for interventions locally based where agricultural policy integrates with a broader policy for rural areas growth.
Sassi, Maria, Pecci, Francesco
core  

Improvements to the calibration of a Geographically Weighted Regression with Parameter-Specific Distance Metrics and Bandwidths

open access: yes, 2018
In standard geographically weighted regression (GWR), the spatially-varying relationships between the dependent and each independent variable are explored under a constant and fixed scale, but for many processes their variation intensity may differ with ...
Ge, Y   +7 more
core   +1 more source

Influence diagnostics in geographically weighted ridge regression

open access: yes, 2023
The presence of influential observations affect the accuracy of the model results. Similarly, the multicollinearity is the other problem that affect accuracy.
TÜRKAN, SEMRA
core   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

open access: yesAdvanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke   +32 more
wiley   +1 more source

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