Spatial analysis of annual precipitation of Khuzestan province; An approach of spatial regressions analysis by Saeed balyani

“…In order to determine of precipitation model and forecasting it, there are different models, but given that the precipitation data have a spatial autocorrelation, the spatial statistic is a powerful tool to recognition of spatial behaviors. …”
Get full text

Numerical Analysis of Chaos in a Phononic Crystal Waveguide with Circular Inclusions of Real Materials by Hugo Enrique Alva-medrano, Héctor Pérez-aguılar, Alejandro Bucio

“…In this system, we use the numerical technique of the integral equation, which allows us to obtain the pressure field corresponding to the normal modes in a range of frequencies. In addition, spatial statistical properties of pressure intensity such as the autocorrelation function (ACF) and its standard deviation called correlation length were calculated. …”
Get full text

A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China... by Chuyi Guo, Yuchi Yang

“…This study develops a multi-modal data analysis framework, incorporating social media data, topic modeling, and spatial statistical techniques. Using Xi’an, China, as a typical case, it examines how public activities change over time and space, how they interact with urban spaces, as well as how different aspects of the built environment shape public perception.The main findings are as follows:(1) Public activity varies significantly across day and night, interacting in complex ways with urban spatial elements;(2) Public activity is driven by multiple interconnected factors;(3) The built environment affects public perception unevenly, with certain spatial elements evoking strong emotional resonance and reinforcing cultural identity;(4) A dynamic feedback loop exists between public activity and perception.This research offers novel insights into precision-oriented, human-centered, and sustainable urban development.…”
Get full text

Association between contextual factors and vaccine coverage against human papilomavirus in adolescents in the state of Minas Gerais, Brazil: global spatial regressions by Bianca Maria Oliveira Luvisaro, Thales Philipe Rodrigues da Silva, Josianne Dias Gusmão, Marcela Lencine Ferraz, Luciana Maiara Diogo Nascimento, Larissa Pereira Gomes, Fernanda Penido Matozinhos

“…This ecological study utilized secondary data from 853 municipalities in MG, covering female adolescents from 2014 to 2022 and male adolescents from 2017 to 2022, as provided by the information system of the National Immunization Program. Spatial statistical analysis was conducted to assess spatial dependence and identify spatial clusters of municipalities with high and low HPV vaccine coverage. …”
Get full text

The Spatiotemporal Pattern of the Aerosol Optical Depth (AOD) on the Canopies of Various Forest Types in the Exurban National Park: A Case in Ningbo City, Eastern China by Yufeng Chi, Shudi Zuo, Yin Ren, Kaichao Chen

“…This quantitative research integrated remote sensing and ground survey data and used spatial statistical methods to explore the drivers that influence the AOD of the exurban national forest park and analyze the differences between various forest types. …”
Get full text

Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network. by Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji

“…However, limited data are available for this estimation in the introduction stage. Spatial statistical models have been used to address the lack of information by considering the observations of neighbors or integrating multiple data sources based on the assumption of spatial correlation. …”
Get full text

Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow by Xiaoxiao Wang, Haiping Zhang, Zitong Li, Xin Yang, Ziyi Qian, Duo Bian, Yongxin Zhao

“…This research focuses on cities in China, analyzing the spatial patterns and factors that affect city influence using spatial statistical methods. The results show that 69% of the cities that exhibit a strong preference are geographically closer to the more influential cities, emphasizing the role of geographical proximity in shaping urban influence in the digital age. …”
Get full text

Unveiling the drivers of vancomycin-resistant enterococcus in China: A comprehensive ecological study by Jiongjiong Wang, Xiaoying Li, Xinying Du, Huiqun Jia, Hui Chen, Jian Wu, Guangcai Duan, Haiyan Yang, Ligui Wang

“…Spearman's rank correlation, beta regression, and spatial statistical analysis were performed using R version 4.2.2 and ArcGIS version 10.7. …”
Get full text

Crowdsourced Indicators of Flora and Fauna Species: Comparisons Between iNaturalist Records and Field Observations by Hyuksoo Kwon, Bumsuk Seo, Jungin Kim, Heera Lee

“…This study demonstrates how large volumes of citizen science and social media data can be analyzed to reveal patterns of human interactions with nature through unconventional, scalable methods. By applying spatial statistical methods, data from the citizen science platform iNaturalist are analyzed and compared with ground-truth visitation data. …”
Get full text

Towards global elimination of lymphatic filariasis: a systematic review of the application of spatial epidemiological methods to enhance surveillance and support elimination progra... by Angela Cadavid Restrepo, Colleen L Lau, Beatris Mario Martin, Helen J Mayfield

“…Thirty-one (50.8%) studies used spatial statistical modelling, with model-based geostatistics being the most common method. …”
Get full text

Revealing the rural multifunctionality declining and its causes in depopulated regions of Northeast China: a case study of Heilongjiang Province by Dongmei Li, Qing Wen, Yue Qi, Guoming Du

“…Based on an evaluation of rural multifunctionality from 2000 to 2020, the spatial statistical analysis method and a geographical model were used to reveal the declining characteristics of rural multifunction in the depopulation area, as well as the effects of the influencing factors in the whole region and under various population size areas. …”
Get full text