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FEATURE MODELLING OF HIGH RESOLUTION REMOTE SENSING IMAGES CONSIDERING SPATIAL AUTOCORRELATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
To deal with the problem of spectral variability in high resolution satellite images, this paper focuses on the analysis and modelling of spatial autocorrelation feature.
Y. X. Chen, K. Qin, Y. Liu, S. Z. Gan, Y. Zhan   +4 more
doaj   +1 more source

Scientometric Analysis for Spatial Autocorrelation-Related Research from 1991 to 2021

ISPRS International Journal of Geo-Information, 2022
Spatial autocorrelation describes the interdependent relationship between the realizations or observations of a variable that is distributed across a geographical landscape, which may be divided into different units/areas according to natural or ...
Qing Luo, Kai Hu, Wenxuan Liu, Huayi Wu
doaj   +1 more source

Flow-Data-Based Global Spatial Autocorrelation Measurements for Evaluating Spatial Interactions

ISPRS International Journal of Geo-Information, 2023
Spatial autocorrelation analysis is essential for understanding the distribution patterns of spatial flow data. Existing methods focus mainly on the origins and destinations of flow units and the relationships between them.
Shuai Sun, Haiping Zhang
doaj   +1 more source

The Spatial Autocorrelation Analysis For Transport Accessibility In Selected Regions Of The European Union [PDF]

, 2016
The main purpose of this article is to assess and analyze the occurrence of spatial autocorrelation in connection with the transport accessibility (measured by density of a motorway network).
Joanna Górniak, Górniak, Joanna
core   +1 more source

Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

Geospatial Health, 2023
A study of 2,569,617 Thailand citizens diagnosed with COVID-19 from January 2020 to March 2022 was conducted with the aim of identifying the spatial distribution pattern of incidence rate of COVID-19 during its five main waves in all 77 provinces of the
Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm   +2 more
doaj   +1 more source

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

Quantitative analysis of agricultural drought propagation process in the Yangtze River Basin by using cross wavelet analysis and spatial autocorrelation

, 2020
It is important to understand the propagation of an agricultural drought, which is crucial for early warning. Recent studies have partly revealed this hidden process and regarded it as another critical feature of drought, but the relevant studies are ...
Ronghui Li, Nengcheng Chen, Xiang Zhang, Linglin Zeng, Xiaoping Wang, Shengjun Tang, Deren Li, D. Niyogi   +7 more
semanticscholar   +1 more source

Measuring the spatiotemporal variations of vegetation net primary productivity in Inner Mongolia using spatial autocorrelation

, 2020
Monitoring variations in vegetation net primary productivity (NPP) contributes greatly to the evaluation of terrestrial ecosystem structure and function. Current research has focused on the trend changes of vegetation productivity but has largely ignored
H. Ren, Yingjie Shang, Shuai Zhang
semanticscholar   +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