Towards Age-Friendly Urban Spaces: Analyzing Elderly Facility Proximity Preference Needs in Dubai by Chuloh Jung, Gamal El Samanoudy, Massimiliano Gotti Porcinari, Naglaa Sami Abdelaziz Mahmoud

“…This study addresses the critical challenge of optimizing spatial arrangements for the elderly in rapidly aging societies. …”
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Analyzing cereal and grain legumes (pulses) yields patterns in the forest and forest-steppe zones of Ukraine using geographically weighted principal components analysis by Anastasiia ZYMAROIEVA, Oleksandr ZHUKOV

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Analyzing Key Quality Attributes in Commercial Space Design Planning Using Impact Range Performance Analysis by Computer Software for Sustainable Development Goals by Chun-Pin Huang, Chia-Hui Huang, Chun-Chih Chen

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Spatial Interpretation: Spatial Configuration of Old Ladoga by G. I. Ostapenko

“…It implies using interpretation of space stage (in research design) which promotes more detail consideration of phenomenon. Also there were analyzed spatial patterns (configurations) of Staraya Ladoga, which were given appropriate assessment.…”
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Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

“…We implemented this algorithm in Python as a QGIS script with two main steps: the first handles overlay operations and preliminary calculations for the chi-square goodness-of-fit test with and without Bonferroni correction in the second step. • A detailed step-by-step procedure for analyzing randomness in point patterns in a processing toolbox Python script for integration into the open-source software QGIS. • Automated scripts for structuring data, calculating expected and observed values, and applying the chi-square goodness-of-fit test for statistical analysis. • Advanced spatial analysis using chi-square goodness of fit coupled with and without Bonferroni correction, providing deeper insight into the study of the effect of spatial phenomena on the distribution of point events.…”
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Identifying and analyzing logistics land use: by Andre Thiemermann, Florian Groß

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Characterization and estimation of heterogeneous spatial autocorrelation in spatial autoregressive models. by Jing Zhao, Yue Pu

“…Spatial Autoregressive (SAR) models are widely used to analyze interactions among regions. …”
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Hyper Spectral Camera ANalyzer (HyperSCAN) by Wen-Qian Chang, Hsun-Ya Hou, Pei-Yuan Li, Michael W. Shen, Cheng-Ling Kuo, Tang-Huang Lin, Loren C. Chang, Chi-Kuang Chao, Jann-Yenq Liu

“…With the aid of higher-spatial-resolution multispectral data, we can boost the spatial resolution of HyperSCAN data.…”
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Analyzing space efficiency in Japanese tall buildings by Hüseyin Emre Ilgın, Özlem Nur Aslantamer

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Extreme thermal episodes analyzed with MODIS products during the boreal winter (2000-2016) by J. Gomis-Cebolla, J.C. Jiménez-Muñoz, J.A. Sobrino

“…In this paper, these episodes are studied by analyzing the thermal anomalies spatial distribution and temporal evolution in the period 2001-2016 from Land Surface Temperature (LST) products obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. …”
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Analyzing individual factors influence on investment processes in regions by N. S. Kagramanyan, S. V. Lukiantseva

“…The trend to reduce stratification by spatial factor must inevitably include conditions equality for economic activity for everyone. …”
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Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs by Xiao Li

“…Despite significant progress in analyzing digital pathology images, current methods for capturing spatial relationships are limited. …”
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The Demographic Challenge Analyzed Through Ageing Indices in Extremadura and Andalusia (Spain) with Cluster Mapping Tools by José-Manuel Sánchez-Martín, José-Luis Gurría-Gascón, Juan-Ignacio Rengifo-Gallego

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Attention Deficit Hyperactivity Disorder identification: FMRI data analyzed with CNN and seed-based approach by Anika Siamin Oyshi, Mohammad Hasan, Md. Khabir Uddin Ahamed, Md. Sydur Rahman, Md. Mahfuzul Haque, Mahmudul Alam

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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…Finally, the model incorporates these elements (growth points, food locations, obstacles) to analyze and optimize spatial functions.ResultsThe research results indicate that the design method for spatial network analysis using slime mold intelligence based on POI data mapping is highly feasible in the landscape design of small and medium-sized sites. …”
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Multiscale Dissection of Spatial Heterogeneity by Integrating Multi‐Slice Spatial and Single‐Cell Transcriptomics by Yuqi Chen, Caiwei Zhen, Yuanyuan Mo, Juan Liu, Lihua Zhang

“…Existing methods for analyzing spatially resolved transcriptomics (SRT) are separately designed for either domain alignment across multiple slices or deconvoluting cell type compositions within a single slice. …”
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Spatial Analysis of the Livability Status of the Three Areas of Gorgan Based On the Physical-Spatial Index by Mostafa Ariankia, Shaghayegh Shirazi Irai

“…The required data were obtained from the method of library studies, observation, and field technique (researcher-made questionnaire) in the form of 6 indicators including facilities and infrastructure, open and public spaces, landscape, transportation, pollution, housing quality, and 24 items. Is. To analyze the data from SPSS software, t-tests to check the measurement of the difference between the average of the research sample (theoretical average) and the average of the population; ANOVA test (one-way analysis of variance) to examine the difference in the average dimensions of the six variables of the research index among the studied areas; From the multivariate regression test to investigate the influence of each of the variables of the physical index of livability in evaluating the livability of the studied areas; And finally, Friedman's test was used to rank and evaluate the effect of each of the physical-spatial index variables on the livability status and prioritize the variables. …”
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Efficient High-Dimensional Entangled State Analyzer with Linear Optics by Niv Bharos, Liubov Markovich, Johannes Borregaard

“…In addition, the auxiliary state only occupies a single spatial mode, allowing it to be generated deterministically from a single quantum emitter coupled to a small qubit register. …”
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Review of Image Processing Methods in Solar Photospheric Data Analyzes by Mohsen Javaherian, Zahra Eskandari

“…Within astronomical datasets, the combination of solar space missions and ground-based telescopes has yielded high spatial and temporal resolutions for observing the Sun, thus fueling an increase in the utilization of automatic image processing approaches. …”
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Throw and Catch: Analyzing the Synchronized Movements of Eyes and Joints in Children by Ziyu He, Hong Fu, Ruimin Li, Zhen Liang, Chetwyn C. H. Chan, Yanwen Xu, Yang Zheng

“…Throw and catch are fundamental motor skills that are closely related to eye-hand coordination, reaction speed, and spatial awareness in children. Current research on throw and catch mainly focuses on the impact of attentional focus, anticipatory knowledge, and training on visuomotor control. …”
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