Results 31 to 40 of about 2,700 (200)

FastGTWR: A fast geographically and temporally weighted regression approach

, 2021
Spatial analysis has become more important today and is used in several application domains. Geographically Weighted Regression (GWR) method, which is one of the widely used spatial analysis methods, is the local spatial regression technique used to ...
Murat TAŞYÜREK, TAŞYÜREK, MURAT, Mete ÇELİK, ÇELİK, METE   +3 more
core   +1 more source

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

Advanced 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, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

Penentuan hasil bandwidth optimum model geographically and temporally weighted regression (GTWR) dengan metode cross validation [PDF]

, 2017
INDONESIA: Model Geographically and Temporally Weighted Regression (GTWR) merupakan model yang dikembangkan dari model Geographically Weighted Regression (GWR) yang memperhatikan lokasi dan waktu untuk setiap pengamatan.
Farihah, Izza
core  

Constrained Forest Methane Sink by Thermal Adaptation of Soil Methanotrophs

Advanced Science, EarlyView.
Climate warming can stimulate methanotroph‐mediated CH4 oxidation in forest soils, thereby mitigating the increase in atmospheric CH4 concentrations. By integrating evidence from a macro‐climatic thermal gradient and a 70‐day incubation experiment, this study demonstrates that microbial methanotrophs can adapt to long‐term temperature changes at the ...
Baizhi Jiang, Xi Zhang, Zhenghu Zhou, Nianpeng He, Xuhui Zhou, Hongyang Chen   +5 more
wiley   +1 more source

A Mixed Geographically and Temporally Weighted Regression: Exploring Spatial-Temporal Variations from Global and Local Perspectives

, 2017
To capture both global stationarity and spatiotemporal non-stationarity, a novel mixed geographically and temporally weighted regression (MGTWR) model accounting for global and local effects in both space and time is presented.
Xiaolu Zhang, Yi Yang, Shenghua Xu, Jiping Liu, Agen Qiu, Yangyang Zhao, Lihong Shi, Fuhao Zhang   +7 more
core   +1 more source

Circadian‐Inspired Hydrogel Moisture Electricity Generation

Advanced Science, EarlyView.
A circadian‐inspired hydrogel moisture‐electric generator enables sustainable electricity generation by autonomously current direction switching between daytime and nighttime. This reversible output is accompanied by inversion of the internal water gradient, which effectively reduce hydrogel fatigue and offers a new strategy for harvesting diurnal ...
Ziqi Li, Dilalanmu Ahemaitijiang, Hongfei Yang, Xuan Zhao, Mengjiao Pan, Jun Wan, Pingan Zhu, Dahua Shou   +7 more
wiley   +1 more source

ANALISIS DATA KEMISKINAN DI JAWA TENGAH MENGGUNAKAN METODE MIXED GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSIONS (MGTWR) [PDF]

, 2015
Metode regresi merupakan salah satu metode statistika yang dapat digunakan untuk menganalisis data kemiskinan. Akan tetapi untuk data spasial model regresi biasa menjadi tidak sesuai.
Yasin, Hasbi, Sugito, Sugito, Prahutama, Alan   +2 more
core   +1 more source

Local–Linear Two-Stage Estimation of Local Autoregressive Geographically and Temporally Weighted Regression Model

A geographically and temporally weighted regression (GTWR) model is an effective tool for dealing with spatial heterogeneity and temporal non-stationarity simultaneously.
Dan Xiang, Zhimin Hong
core   +1 more source

Global Burden and Temporal Trends of Early‐Onset Tracheal, Bronchial, and Lung Cancer: An Analysis of GLOBOCAN 2022 and GBD 2023 Data

Advanced Science, EarlyView.
This study systematically assessed the global burden and temporal trends of EOTBL cancer in individuals aged 15–49 years. Smoking, ambient particulate matter pollution, and secondhand smoke remain dominant risk factors. Countries within the same Human Development Index (HDI) category exhibit distinct epidemiological trajectories, underscoring the need ...
Ye Tian, Weihao Zhang, Yao Lu, Bruce F. O'Hara, Jingjing Hu, Hanqi Feng, Jing Di, Lei Zhang, Xueying Yang   +8 more
wiley   +1 more source

What Really Drives Agri‐Environment‐Climate Measures' Adoption? Mandatory Requirements, Behavioral Traits, and Structural Factors in the CAP Green Architecture

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT To increase farmer adoption of green practices, the EU Common Agricultural Policy includes both mandatory (conditionality) and voluntary instruments (eco‐schemes–ECS– and more demanding, multi‐annual agri‐environment‐climate measures –AECM–). Building on the experiment of Barreiro‐Hurle et al.
L. Sanchez‐Mata, M. Rodríguez‐Entrena, M. Espinosa‐Goded, F. J. Dessart, J. Barreiro‐Hurlé   +4 more
wiley   +1 more source