Results 21 to 30 of about 50,725 (251)

Joint effects of habitat heterogeneity and species' life-history traits on population dynamics in spatially structured landscapes. [PDF]

PLoS ONE, 2014
Both habitat heterogeneity and species' life-history traits play important roles in driving population dynamics, yet there is little scientific consensus around the combined effect of these two factors on populations in complex landscapes.
Xinping Ye, Andrew K Skidmore, Tiejun Wang   +2 more
doaj   +1 more source

Spatial location and agglomeration economies in exports: empirical evidence by technological intensities in Brazil

Journal of Applied Economics, 2023
This study investigates spatial autocorrelation and the formation of spatial export clusters of Brazilian mesoregions based on technological intensity.
Antonio Carlos de Campos, Luís Lopes, Carlos Carreira   +2 more
doaj   +1 more source

Can satellite-based data substitute for surveyed data to predict the spatial probability of forest fire? A geostatistical approach to forest fire in the Republic of Korea

Geomatics, Natural Hazards & Risk, 2019
To assess which data type is more effective for spatial modeling in the Republic of Korea, we conducted geostatistical analysis based on frequency, intensity, and spatial autocorrelation using two types of forest fire occurrence data: that collected ...
Chul-Hee Lim, You Seung Kim, Myungsoo Won, Sea Jin Kim, Woo-Kyun Lee   +4 more
doaj   +1 more source

Analisis Pola Spasial Penyakit Demam Berdarah Dengue di Kota Bandung Menggunakan Indeks Moran

Rekayasa Hijau: Jurnal Teknologi Ramah Lingkungan, 2018
Bandung has the highest case of dengue fever in West Java, which is 3134 cases in 2014. The spread of dengue fever can be analyzed spatially by spatial autocorrelation to find out the correlation relationship pattern between locations.
Rika Hernawati, Muhamad Yordi Ardiansyah
doaj   +1 more source

Spatial spillover effect of industrial structure upgrading on carbon emission intensity: panel data evidences from Beijing, China

Frontiers in Environmental Science, 2022
Applying the panel data of 16 districts in Beijing, China from 2009 to 2020 as the research object, this study measures and analyzes the carbon emission intensity and the level of industrial structure upgrading.
Baoguo Shi, Renwang Wang, Ru Zhe, Ziqian Zhai   +3 more
doaj   +1 more source

Autokorelasi Spasial untuk Identifikasi Pola Hubungan Kemiskinan di Jawa Timur

ComTech, 2012
Spatial autocorrelation is a spatial analysis to determine the relationship pattern or correlation among some locations (observation). On the poverty case of East Java, this method will provide important information for analyze the relationship of ...
Rokhana Dwi Bekti
doaj   +1 more source

Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data

Forecasting, 2022
The price of market products is the result of the interaction of supply and demand. However, within the same country, prices can vary significantly, especially during crisis periods.
Venera Timiryanova, Irina Lakman, Vadim Prudnikov, Dina Krasnoselskaya   +3 more
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Spatial autocorrelation in machine learning for modelling soil organic carbon

Ecological Informatics
Spatial autocorrelation, the relationship between nearby samples of a spatial random variable, is often overlooked in machine learning models, leading to biased results.
Alexander Kmoch, Clay Taylor Harrison, Jeonghwan Choi, Evelyn Uuemaa   +3 more
doaj   +1 more source

Robust Electrocaloric Performance Enabled by Highly‐Polar Frustrated Nanodomains in NaNbO3‐Based Ferrodistortive Relaxor

Advanced Functional Materials, EarlyView.
P4bm framework in NaNbO3‐Ba(Ti, Hf)O3 ferrodistortive relaxor entails short‐range and highly‐polar ferrodistortive orders. The abundant highly‐polar orders facilitate to increase entropy change, and robust octahedral oxygen tilt enables to impede thermal perturbations.
Feng Li, Changshun Dai, He Qi, Jiecheng Liu, Xiaoming Shi, Heng Zhou, Qiong Yang, Mingsheng Long, Lei Shan, Chunchang Wang, Jianli Wang, Zhenxiang Cheng   +11 more
wiley   +1 more source