Method to Use Transport Microsimulation Models to Create Synthetic Distributed Acoustic Sensing Datasets by Ignacio Robles-Urquijo, Juan Benavente, Javier Blanco García, Pelayo Diego Gonzalez, Alayn Loayssa, Mikel Sagues, Luis Rodriguez-Cobo, Adolfo Cobo

“…This research introduces a new method for creating synthetic Distributed Acoustic Sensing (DAS) datasets from transport microsimulation models. …”
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Spatial change, time tendency and projection to HIV/AIDS incidence in an eastern province of China by Yiwei Li, Shijia Yuan, Yang Zhao, Xingguang Yang, Hongyu Li, Yanlin Lv, Wenhui Gao, Surong Zhao, Ronghang Liu, Chunlei Han

“…Statistical projection study. Spatial autocorrelation model and spatiotemporal scanning analysis were used to describe the spatial and temporal distribution of HIV/AIDS incidence in Shandong Province from 2012 to 2022, and geographical weighted regression model and geographic detector model were used to analyze the influencing factors. …”
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Spatial Redistributions of Regional Economic Activity in Central Java (Direct Error Correction Model Causality Approach) by Jihad Lukis Panjawa, Bhimo Rizky Samudro

“…This study shows that spatial concentrations throughout the observation period are quite high. …”
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Spatially Resolved Star Formation Rate and Dust Attenuation of Nearby Galaxies from CALIFA, GALEX, and WISE Data by Jong Chul Lee, Joon Hyeop Lee, Hyunjin Jeong, Mina Pak, Sree Oh

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Spatial and Temporal Changes and Influencing Factors of Mercury in Urban Agglomeration Land Patterns: A Case from Changchun Area, Old Industrial Base of Northeast China by Zhe Zhang, Zhaojun Wang, Jing Zong, Hongjie Zhang, Yufei Hu, Yuliang Xiao, Gang Zhang, Zhenxin Li

“…Structural equation modeling demonstrated that different spatial scales had a significant negative effect on soil mercury concentrations, atmospheric mercury concentrations at 0 cm and 100 cm, and mercury and its compounds emissions. …”
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Modelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition. by Bingyi Yang, Brooke A Borgert, Barry W Alto, Carl K Boohene, Joe Brew, Kelly Deutsch, James T DeValerio, Rhoel R Dinglasan, Daniel Dixon, Joseph M Faella, Sandra L Fisher-Grainger, Gregory E Glass, Reginald Hayes, David F Hoel, Austin Horton, Agne Janusauskaite, Bill Kellner, Moritz U G Kraemer, Keira J Lucas, Johana Medina, Rachel Morreale, William Petrie, Robert C Reiner, Michael T Riles, Henrik Salje, David L Smith, John P Smith, Amy Solis, Jason Stuck, Chalmers Vasquez, Katie F Williams, Rui-De Xue, Derek A T Cummings

“…Empirically-based predictive models of the spatial distribution of these species would aid surveillance and vector control efforts. …”
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Assessing Patterns and Risk to Chilean Freshwater Fish Distributions Using Multi‐Species Occupancy Models by Erin E. Tracy, Evelyn Habit, Konrad Górski, Nann A. Fangue, Andrew L. Rypel

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Advanced air quality prediction using multimodal data and dynamic modeling techniques by Umesh Kumar Lilhore, Sarita Simaiya, Rajesh Kumar Singh, Abdullah M. Baqasah, Roobaea Alroobaea, Majed Alsafyani, Afnan Alhazmi, M. D. Monish Khan

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Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model by Yunyan Yang

“…The research results show that the Geary carbon emission C index in high pollution areas is significantly less than 0, indicating a negative correlation between carbon emissions and spatial distribution. …”
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Geographical modelling based on spatial differentiation of fire brigade actions: A case study of Brno, Czech Republic by Popelínský Jan, Vachuda Jan, Veselý Ondřej

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Hydrological Connectivity Dominates NO3‐N Cycling in Complex Landscapes – Insights From Integration of Isotopes and Water Quality Modeling by Songjun Wu, Doerthe Tetzlaff, Xiaoqiang Yang, Tobias Sauter, Chris Soulsby

“…Abstract Distributed water quality modeling often involves considerable uncertainty due to complexity and spatial heterogeneity of hydrological and biogeochemical processes. …”
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An evaluation of spatial–temporal dynamics of city size distribution & CO2 emission in China from nighttime light data: a Pathway to sustainable urban planning by Neel Chaminda Withanage, Jingwei Shen, N. P. Ravindra Deyshappriya, Prabuddh Kumar Mishra, K. Samitha Udayanga

“…Even though some studies have been conducted in this regard, there is a lack of comprehensive studies that integrate socioeconomic and nighttime light (NL) data on both spatial and temporal scales. Therefore, using NL data as a proxy for urban growth, this study offers a novel approach to assess city size distribution (CD) and CO2 emission dynamics from 2000 to 2020 at the provincial and prefecture levels. …”
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STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES by V. A. Mubassarova, L. M. Bogomolov, A. S. Zakupin, I. A. Panteleev, O. B. Naimark

“…This supports the research results reviewed in [Bogomolov et al., 2011] concerning the AE activity increment of 20 % due to electric pulses in the field twice less strong than that in our experiments at ICMM.The AE energy distribution analysis shows that cumulative distributions of the number of AE signals vs energy (i.e. the number of AE signals which energy exceeds a specified threshold value) are power-behaved. …”
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Mapping spatial patterns to energetic benefits in groups of flow-coupled swimmers by Sina Heydari, Haotian Hang, Eva Kanso

“…We show in pairwise formations and with increasing group size that (1) in side-by-side arrangements, the reciprocal nature of flow coupling results in an equal distribution of energy requirements among all members, with reduction in cost of locomotion for swimmers flapping inphase but an increase in cost for swimmers flapping antiphase, and (2) in inline arrangements, flow coupling is non-reciprocal for all flapping phase, with energetic savings in favor of trailing swimmers, but only up to a finite number of swimmers, beyond which school cohesion and energetic benefits are lost at once. …”
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The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models by Patrick Burns, Zaneta Kaszta, Samuel A. Cushman, Samuel A. Cushman, Jedediah F. Brodie, Jedediah F. Brodie, Christopher R. Hakkenberg, Patrick Jantz, Mairin Deith, Matthew Scott Luskin, James G. C. Ball, Jayasilan Mohd-Azlan, David F. R. P. Burslem, Susan M. Cheyne, Susan M. Cheyne, Iding Haidir, Iding Haidir, Andrew James Hearn, Eleanor Slade, Peter J. Williams, David W. Macdonald, Scott J. Goetz

“…Remote sensing is an important tool for monitoring species habitat spatially and temporally. Species distribution models (SDM) often rely on remotely-sensed geospatial datasets to predict probability of occurrence and infer habitat preferences. …”
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Evaluation of Spatial Matching Between Water and Soil Resources in Shiyang River Basin Based on FLUS-InVEST Model by HOU Hui-min, WANG Hui, WANG Peng-quan, CAO Jin-jun

“…[Methods] Using the FLUS model, this study simulated the spatial patterns of land use of the Shiyang River Basin in 2035 under three scenarios: cropland protection, natural development, and ecological conservation. …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…The study also found that the distribution of TF was not spatially random. It was clustered at the village levels and showed strong spatial patterns. …”
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Species distribution modeling of two poorly known populations of Spalerosophis diadema (Reptilia: Colubridae): are the Zagros Mountains a true barrier for fragmentation in this spe... by Reza Yadollahvandmiandoab, Azita Farashi, Amir Ebrahimi

“…In this study, we used species distribution modeling to find out the potential distribution and habitat suitability of two spatially separated populations of Spalerosophis diadema and show the most important environmental factors that affect their habitat separation. …”
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A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling by N. N. T. Huynh, P.-A. Garambois, B. Renard, F. Colleoni, J. Monnier, H. Roux

“…This research proposes a general spatially distributed hybrid modeling framework that seamlessly combines differentiable process-based models with neural networks. …”
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Sensitivity analysis and calibration of a semi-distributed HBV model in the data-limited and regulated Nile River Basin by Mohammed Refaat Elgendy, Sonia Hassini, Paulin Coulibaly

“…Study region: The Nile River Basin Study focus: Developing hydrologic models for large transboundary basins characterized by significant spatial variability, complexity, and limited data is a particularly challenging task. …”
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