Results 31 to 40 of about 3,055,467 (232)
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
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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 +3 more
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On ignoring the heterogeneity in spatial autocorrelation: consequences and solutions
International Journal of Geographical Information ScienceSpatial autoregressive (SAR) models are often used to explicitly account for the spatial dependence underlying geographic phenomena. However, traditional SAR models are specified using a single SAR coefficient, assuming constant spatial dependence over ...
Zehua Zhang, Ziqi Li, Yongze Song
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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 +3 more
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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
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Residual spatial autocorrelation in macroecological and biogeographical modeling: a review
Journal of Ecology and Environment, 2019 Macroecologists and biogeographers continue to predict the distribution of species across space based on the relationship between biotic processes and environmental variables. This approach uses data related to, for example, species abundance or presence/
Guetchine Gaspard, Daehyun Kim, Y. Chun
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Spatial autocorrelation in machine learning for modelling soil organic carbon
Ecological InformaticsSpatial autocorrelation, the relationship between nearby samples of a spatial random variable, is often overlooked in machine learning models, leading to biased results.
Alexander Kmoch +3 more
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Ecological Indicators, 2021 Spatial autocorrelation is a general property of ecological variables. Since many of the statistical methods used in ecology often assume sample independence, spatial clustering is considered a source of noise in studies related to the estimation and ...
Victor Moctezuma
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Spatial patterns of surface soil moisture and hydro-physical properties in Lijiang River watershed
Shui kexue jinzhan, 2016 Spatial heterogeneity is a basic characteristic of soil moisture and hydro-physical properties. We applied geostatistical approach to assess the spatial patterns of soil moisture and hydro-physical properties to identify the distribution and variability ...
YAO Yuefeng +6 more
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Investigating Spatial Autocorrelation and Spillover Effects in Freeway Crash-Frequency Data
International Journal of Environmental Research and Public Health, 2019 This study attempts to investigate spatial autocorrelation and spillover effects in micro traffic safety analysis. To achieve the objective, a Poisson-based count regression with consideration of these spatial effects is proposed for modeling crash ...
Huiying Wen +4 more
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