APPLICATION OF PENALIZED SPLINE-SPATIAL AUTOREGRESSIVE MODEL TO HIV CASE DATA IN INDONESIA by Nindi Pigitha, Anik Djuraidah, Aji Hamim Wigena

“…PS-SAR is a combination of the P-Spline and the SAR spatial model so that it can analyze spatial data with a semiparametric approach. …”
Get full text

Methane Dynamics in Inner Mongolia: Unveiling Spatial and Temporal Variations and Driving Factors by Sirui Yan, Yichun Xie, Ge Han, Xiaoliang Meng, Ziwei Li

“…This study uses TROPOMI satellite data (February 2019 to December 2022) to analyze the long-term trends and spatial distribution of methane in Inner Mongolia. …”
Get full text

Enhancing Precision Beekeeping by the Macro-Level Environmental Analysis of Crowdsourced Spatial Data by Daniels Kotovs, Agnese Krievina, Aleksejs Zacepins

“…Subsequently, an experimental spatial data classifier was developed and applied to evaluate the suitability of territories for beekeeping. …”
Get full text

Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean by Kaishan Wang, Di Wu, Tao Zhang, Lei Yin, Kai Wu, Chongwei Zheng

“…This study used ERA5 reanalysis data to assess wind energy resources in the Pacific Northwest region. By analyzing key indicators such as wind power density, effective wind speed occurrence, and energy level occurrence, climate statistics and empirical orthogonal function analysis (EOF) were used to examine the spatial distribution and long-term trend of offshore wind energy resources in the Northwest Pacific. …”
Get full text

Spatial Quality Control Method for Surface Temperature Observations Based on Multiple Elements by Xiaoling Ye, Xing Yang, Xiong Xiong, Shuai Yang, Yang Chen

“…The training sample dependence, model prediction accuracy and error detection rate of the PCA-RF model are superior to those of the Spatial Regression method. Therefore, the PCA-RF method is a better-quality control model for the spatial quality control of multiple elements of surface air temperature observations.…”
Get full text

Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis by Yongxin Ge, Jiake Leng, Ziyang Tang, Kanran Wang, Kaicheng U, Sophia Meixuan Zhang, Sen Han, Yiyan Zhang, Jinxi Xiang, Sen Yang, Xiang Liu, Yi Song, Xiyue Wang, Yuchen Li, Junhan Zhao

“…While deep learning has shown promise in analyzing SCST datasets, most efforts have focused on sequence data and spatial localization, with limited emphasis on leveraging rich histopathological insights from staining images. …”
Get full text

Study on Spatial Distribution and Heritage Corridor Network of Traditional Settlements in Ancient Huizhou by Yao Wu, Yuxin Yang, Mingrui Miao, Yonglan Wu, Hui Zhu

“…Taking ancient Huizhou as a case study, this research analyzes the spatial distribution patterns of cross-provincial traditional settlements and constructs a multi-level heritage corridor network through circuit theory modeling and space syntax analysis. …”
Get full text

A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation by Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu

“…By the collaborative work of four submodules: spatial feature alignment, spatial feature fusion, semantic feature alignment, and semantic feature fusion, the dual-branch network achieves feature alignment and fusion. …”
Get full text

Navigating the Uncanny Spaces: Spatial Relations in Don DeLillo’s Falling Man by Gaj Tomaš

“…Following the twentieth-century’s spatial turn in literary and cultural studies, this paper examines spaces and spatiality in Don DeLillo’s novel Falling Man, a seminal fictional response to the most traumatic (spatial) event in the USA at the turn of the century. …”
Get full text

Spatial Analysis of Digital Transformation on Food Security in Sumatra: Amidst Climate Change by Moh Najikhul Fajri, Backtiar Putra Pratama, Fifi Amilia Wulandari

“…This study aims to analyze the impact of digital transformation on food security in Sumatra. …”
Get full text

Spatial disparities and dynamics in the high quality agricultural development in Heilongjiang Province of China by Jingting Yu, Guanghao Wu

“…Abstract As a key commodity and strategic reserve grain base in China, evaluating and analyzing the high-quality agricultural development (HQAD) within Heilongjiang Province is crucial for advancing national agricultural quality. …”
Get full text

Harnessing Socio-Spatial Dynamics for Pandemic Resilience: Evidence from Kozhikode, India by Shahana Usman Abdulla, Bimal Puthuvayi

“…Based on the data collected from 1194 individuals across 75 wards of Kozhikode City, the study employed a binary logistic regression model to examine how these variables affect COVID-19 test outcomes and a hotspot analysis to analyze the spatial dynamics of infection. The presence of comorbidities (Odds Ratio = 8.61) and the stringency index (Odds Ratio = 1.63) were the most significant factors associated with increased COVID-19 infection risk, highlighting the vulnerability of individuals with chronic health conditions and the complex relationship between government restrictions and case numbers. …”
Get full text

Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Accurate modeling the distance between the nodes in spatial structure is particularly challenging. Additionally, the scarcity of labelled anomaly data for training supervised models can hinder the accuracy and effectiveness of anomaly detection methods. …”
Get full text

Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná by Maria Luiza Melo da Silva, Natan Nascimento de Oliveira, Andreia Ferdin, Maria José Quina Galdino, Emiliana Cristina Melo, Rosana Rosseto de Oliveira

“…ABSTRACT Objective: To analyze the spatial distribution of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná. …”
Get full text

An analysis of spatial distribution characteristics and driving factors of traditional villages in the Loess Plateau. by Xiaobin Bao, Yingna Yang, Jianqing Qi, Yanbing He

“…Utilizing the ArcGIS 10.8 platform and the GeoDetector model, this study comprehensively applies methods including the nearest neighbor index, standard deviation ellipse, kernel density estimation, and spatial autocorrelation to systematically analyze the spatial pattern of traditional villages, and quantitatively reveals their key driving factors and interactions through the GeoDetector. …”
Get full text

Spatial Hearing Questionnaire: Psychometric Properties of Turkish Version and Correlations with Hearing Skills by Bünyamin ÇILDIR, Suna TOKGÖZ-YILMAZ, Gonca SENNAROĞLU

“…The aims of this study were to investigate the reliability of Turkish version of spatial hearing questionnaire (SHQ) and to analyze the validity of the SHQ by the correlation with speech, spatial, and qualities of hearing questionnaire (SSQ) and Turkish matrix sentence test (TMST). …”
Get full text

Spatial evolution of international air cargo network connectivity in China: 1996–2019 by Xu Xu, Jicheng Liu, Jialin Jiang, Bo Lin, Linna Li

“…From a global air transport network perspective, this study investigates the spatial evolution of China’s international air cargo network connectivity between 1996 and 2019. …”
Get full text

Regional Disparities, Spatial Effects, and the Dynamic Evolution of Distorted Energy Prices in China by Zhiyuan Gao, Ziying Jia, Yu Hao

“…This study measures the degree of energy price distortions across Chinese provinces from 2000 to 2022 and employs methods such as the Global Moran’s I, Local Moran’s I, and kernel density estimation to systematically analyze the spatial correlation, spatial distribution of coordination indices, and dynamic evolution patterns of these distortions. …”
Get full text

Evaluation of Cross-Border Transport Connectivity and Analysis of Spatial Patterns in Latin America by Changqi Miao, Yinbao Zhang, Xinjia Zhang, Jianzhong Liu, Shike Zhang

“…The overall connectivity of Latin America was low, and the overall development was unbalanced, with a strong law of spatial differentiation, which was mainly manifested in the strongest connectivity of the integrated coastal countries, followed by the island countries, and the lowest connectivity of the landlocked countries. …”
Get full text

Based on regional heterogeneity: measurement of hospital service efficiency and analysis of spatial effects by Qianwen Song, Anyu Ye, Mengting Zhou, Ting Chen, Wenlian Jiang

“…Efficiency comparisons were made using regional and common frontiers, while the technical gap and its decomposition index were applied to identify the sources of efficiency disparities among regions. The Spatial Durbin Model was then employed to analyze the spatial spillover effects of hospital service efficiency.ResultsThe findings reveal that under the common frontier, the Central South regions demonstrate the highest efficiency, averaging 0.7549, followed by East China at 0.7184, the Southwest at 0.6245, the Northwest at 0.5497, North China at 0.4884, and the Northeast at 0.3571. …”
Get full text