An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

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LULC-SegNet: Enhancing Land Use and Land Cover Semantic Segmentation with Denoising Diffusion Feature Fusion by Zongwen Shi, Junfu Fan, Yujie Du, Yuke Zhou, Yi Zhang

“…This network enhances the clarity of the edge segmentation, detail resolution, and the visualization and accuracy of the contours by delving into the spatial details of the remote sensing images. The LULC-SegNet incorporates DDPM decoder features into the LULC segmentation task, utilizing machine learning clustering algorithms and spatial attention to extract continuous DDPM semantic features. …”
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Field-scale evaluation of low-elevation and mobile drip irrigation systems by Masoumeh Hashemi, Matt Yost, Jonathan Holt

“…Relative yield change among various crops was calculated to compare treatments spatially and temporally. Finally, relative yield changes were simulated using the most accurate machine learning models for each irrigation technology. …”
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Multi-dimensional water quality indicators forecasting from IoT sensors: A tensor decomposition and multi-head self-attention mechanism. by Li Bo, Lv Junrui, Luo Xuegang

“…Accurate prediction of multi-dimensional water quality indicators is critical for sustainable water resource management, yet existing methods often fail to address the high-dimensional, nonlinear, and spatially correlated nature of data from heterogeneous IoT sensors. …”
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Structify-Net: Random Graph generation with controlled size and customized structure by Cazabet, Remy, Citraro, Salvatore, Rossetti, Giulio

“…Network structure is often considered one of the most important features of a network, and various models exist to generate graphs having one of the most studied types of structures, such as blocks/communities or spatial structures. In this article, we introduce a framework for the generation of random graphs with a controlled size —number of nodes, edges— and a customizable structure, beyond blocks and spatial ones, based on node-pair rank and a tunable probability function allowing to control the amount of randomness. …”
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Spawning and nursery areas of Decapterus macarellus: siting pelagic fisheries marine protected area (MPA) in the Sulawesi Sea, Indonesia by Amehr Hakim, Amehr Hakim, Budy Wiryawan, Budy Wiryawan, Ari Purbayanto, Am Azbas Taurusman, Firdaus Agung, Charles P. H. Simanjuntak, Prayekti Ningtias, Rian Prasetia, Tasrif Kartawijaya, Noviar Andayani, Mohamad Natsir, Siska Agustina, Heidi Retnoningtyas, Nabil, Regi Darmawan, Yudi Herdiana, Irfan Yulianto, Irfan Yulianto

“…DiscussionOur findings highlight environmental conditions and critical habitats for D. macarellus, providing insights into spatial patterns of its spawning and nursery activities. …”
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MaxEnt Modeling of the Impacts of Human Activities and Climate Change on the Potential Distribution of <i>Plantago</i> in China by Da Liao, Bing Zhou, Haiyan Xiao, Yuxin Zhang, Shujian Zhang, Qitao Su, Xiaohong Yan

“…The <i>Plantago</i> genus (<i>Plantaginaceae</i> family) includes 14 herbaceous species among China’s flora. This study was conducted to elucidate the spatial distribution of <i>Plantago</i> species patterns across China and evaluate their differential responses to impending climate change and human interventions. …”
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A Novel Geometry Agnostic Delay and Doppler Tracking Technique for GNSS-Reflectometry: Application to the GNOS-II Payload Onboard the FY-3E by Changyang Wang, Adriano Camps, Xiuqing Hu, Hyuk Park, Kegen Yu, Xiaochun Zhai, Wenqiang Lu, Feixiong Huang, Mi Liao, Peng Zhang, Nanshan Zheng, Kefei Zhang, Zhongmin Ma

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CONSTRUCTIVE GEOMETRY IN IMPLEMENTATIONS OF MODERN 3D GRAPHICS by Ivan G. Lenchuk, Oleksandr O. Mosiiuk

“…In particular, the nuances of using the GeoGebra dynamic geometry complex for conducting computational experiments and creating spatial models based on tasks from a school spatial geometry course are described. …”
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Individual differences influencing procedural learning outcomes in virtual reality: a case study on an exterior preflight inspection by Fiona Duruaku, Valerie Sims, Florian G. Jentsch

“…Individual differences in sex, spatial ability, and personality traits were also investigated to determine their effects on procedural learning outcomes. …”
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Gaps in protection to Anopheles exposure in high malaria endemic regencies of Papua Province, Indonesia. by Ismail E Rozi, Lepa Syahrani, Dendi H Permana, Puji B S Asih, Maria E Sumiwi, Neil F Lobo, William A Hawley, Din Syafruddin

“…Additionally, innovative measures like spatial repellents may address some protective gaps, together with improved case detection and treatment. …”
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Spatio-Temporal Analysis of Tuberculosis Clusters in a Region of Topographic Diversity: A Case Study from West Sulawesi Province, Indonesia by Fahrul Islam, Haeranah Ahmad, Fajar Akbar, Ain Khaer, Iwan Suryadi, Muhammad Syukri, Kadar Ramadhan

“…Cluster detection and spatial pattern analysis were conducted using SaTScan version 10.2.5. …”
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Hierarchical Characteristics and Proximity Mechanism of Intercity Innovation Networks: A Case of 290 Cities in China by Xianzhong Cao, Gang Zeng, Lan Lin, Lin Zou

“…The formation mechanism of innovation networks is one of the core issues in the current research of innovation networks, and proximity plays an important role in the formation and development of innovation networks; however, which proximity is more important and how different proximities interact remain to be further researched. This study conducts a social network analysis and adopts a spatial interaction model to examine innovation networks among 290 Chinese cities. …”
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Characteristic Architectural Elements of Traditional Barbaros Houses with a Single-Living Space and Their Relationship with Daily Life by Şeyma Sarıbekiroğlu, Fatma Nurşen Kul

“…This study aims to understand the architectural elements of Barbaros houses with a single-living space, their spatial organization, relation with daily life, and the local terminology for them. …”
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Determination of Spatiotemporal Variations in Heavy Metal Concentration through Orontes River by Ece Kılıç, Mehmet Fatih Can

“…Therefore, to provide adequate quality of water, monitoring studies have been conducted all around the world. In this study, multivariate statistical methods were used to understand the spatial and temporal changes in heavy metal concentration (including As, Cd, Cr, Cu, Fe, Hg, Mn, Pb, Zn) through Orontes River. …”
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2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction by Cheng Fang, Li Wang

“…Subsequently, a 2D hypergraph convolutional network is introduced to uncover spatial correlations in OD flow patterns. The unique aspect of our 2D-HGCN lies in its dynamic hypergraph, which evolves over time, enabling the model to adaptively learn changing spatial dependencies. …”
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Blighted Spaces and the Politics of Everyday Life by Robert Fairbanks

“…This study seeks to compensate for the current gaps in academic research by conducting spatially informed ethnography in a North Philadelphia community. …”
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GIS-based longitudinal analysis of female education and domestic violence in India by Sadiya, Iffat, Hasan, Iqra

“…District-level census data from 2001 and 2011 were analyzed, complemented by primary data from surveys conducted with 102 women. GIS mapping techniques were used to illustrate spatial distributions, while the integration of primary data with NFHS statistics offered a comprehensive understanding of the underlying social dynamics. …”
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Exploring the relationship between jobs and housing in China’s megacities: the case of Guangzhou and Shenzhen by Yunzheng Zhang, Fubin Luo

“…Taking Guangzhou and Shenzhen as the cases, this study conducts a spatial autocorrelation analysis based on online jobs and housing big data to explore the spatial relationships between jobs and housing in terms of both availability and affordability as well as their associations with employment attributes. …”
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Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model by Lv Deguo

“…Finally, experiments are conducted on the images from the GF-5 and Sentinel-2. …”
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