Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

“…Building upon recent findings, we conduct an Observing System Simulation Experiment (OSSE) relying on Copernicus numerical model outputs (with respective temporal and spatial resolutions of 1 d and 1/24°), and we present a strategy for further refinements. …”
Get full text

Identifying dispersal events of red foxes (Vulpes vulpes) using early warning signals by Felicitas Oehler, Janosch Arnold, Klaus Hackländer, Johannes Signer, Stéphanie C. Schai-Braun, Robert Hagen

“…To identify EWSs we conducted a rolling window approach and evaluated the dispersal events by performing a spatial cluster analysis with the mechanistic range shift analysis (MRSA). …”
Get full text

Landscape ecological risk assessment of the northern coastal region of China based on the improved ESRISK framework: A case study of Cangzhou City by Guohao Hu, Yu Guo, Changchun Zhang, Yao Chen, Yu Lang, Lei Su, Haolin Huang

“…Following a “loss-probability” framework, the research conducts an in-depth assessment of LERs and identifies their key driving factors. …”
Get full text

Fine-grained temporal population monitoring of a declining, critically endangered Hawaiian honeycreeper by Richard J. Camp, Chauncey K. Asing, Noah Hunt, Alex Wang, Chris Farmer, Lindsey Neitmann, Paul C. Banko

“…Additionally, this temporally fine-grained sampling provides information on seasonal movement patterns and resource tracking, and population response to management and conservation actions. Our spatially explicit, model-based approach is applicable to a wide range of monitoring programs, particularly those with inconsistent, opportunistic spatial coverage.…”
Get full text

Variation in Hypertension Control by Race and Ethnicity, and Geography in US Veterans by Kimberly E. Lind, Michelle S. Wong, Stephen E. Frochen, Anita H. Yuan, Donna L. Washington

“…Our objective was to describe pre‐pandemic post‐Affordable Care Act implementation hypertension control by geographic sector and race and ethnicity, and assess spatial clustering of hypertension control. Methods and Results A secondary data analysis of hypertension control among US veterans (n=1 619 414) nationwide and in 4 US territories was conducted using electronic health record data. …”
Get full text

Research progress on the evolution and influencing factors of carbon emissions in resource-based cities by Jiayin MU, Jinman WANG, Biao LIU, Man YANG

“…Carbon emissions have a high spatial correlation and agglomeration characteristics, and carbon emissions are expected to continue to increase in the future. …”
Get full text

Tracking Nitrate Sources in the Lower Kagera River in the Lake Victoria Basin: Insights from Hydrochemistry, Isotopes, and the MixSIAR Model by Catherine Mathenge, Stephen Mureithi, Pascal Boeckx, Benjamin Nyilitya, Cargele Masso

“…Spatially and temporally, <i>δ</i>¹⁵N-NO₃⁻ values ranged from +6.0% to +10.2‰, whereas <i>δ</i>¹⁸O-NO₃⁻ displayed significant spatial differences with mean ranges from −1% to +7‰. …”
Get full text

Assessing climate-driven phenological responses of tomato crops under future climate change trajectories: A Central India perspective by Pashupati Nath Singh, Prashant K. Srivastava, Bhawana Sharma, R.K. Mall

“…Spatial rainfall analysis indicated intensified PPT in central zones, whereas western and northwestern regions may experience monsoonal weakening and prolonged dry spells. …”
Get full text

Analisis Dampak Perubahan Iklim Dan Urban Sprawl Kota Palembang Pada Tata Ruang Perkotaan Di Kawasan Perbatasan Kabupaten Banyuasin by Kgs M Benyamin Azhary

“…The results of the analysis are expected to be used as material for consideration in decision making and policy making. Keywords: Spatial Planning, Climate Change, Urban Sprawl…”
Get full text

Large-Scale Maize Condition Mapping to Support Agricultural Risk Management by Edina Birinyi, Dániel Kristóf, Roland Hollós, Zoltán Barcza, Anikó Kern

“…Our methodology was validated at two different spatial scales against independent reference data. …”
Get full text

Adherence to the 3+30+300 urban green space rule and mental health, physical activity, and overweight: A population-based study in the Netherlands by Marco Helbich, Matthew H.E.M. Browning, Dirk Voets, Payam Dadvand

Get full text

Species richness variation in marine and terrestrial fauna across widespread, fragmented territories: assessing inherent challenges of data scarcity at local and regional scales by Kilian Barreiro, Laura Benestan, Charlotte Moritz, Simon Ducatez, Jean-Claude Gaertner, Jérémy Le Luyer, Cristián J. Monaco

“…The biases quantified here challenge our ability to conduct biogeographic analyses that integrate the land-sea meta-ecosystem. …”
Get full text

Perception of Space in the Traditional and Virtual Classroom by T. G. Nikitina

“…Also, the results of the study show the importance of spatial characteristics for the success of learning, for creating a comfortable educational environment. …”
Get full text

Abnormal Visual Function: An Under-recognized Risk Factor of Road Traffic Injuries by Hassan Hashemi, Payam Nabovati, Abbasali Yekta, Ali Borojerdi, Hamidreza Fallahkohan, Farhad Rezvan, Mehdi Khabazkhoob

“…Methods: This population-based case–control study was conducted on roads leading to Tehran Province, Iran. …”
Get full text

Fine-Grained Land Use Remote Sensing Mapping in Karst Mountain Areas Using Deep Learning with Geographical Zoning and Stratified Object Extraction by Bo Li, Zhongfa Zhou, Tianjun Wu, Jiancheng Luo

“…However, the research on the fine-grained land use mapping and quantitative characterization of spatial heterogeneity in karst mountain areas is still insufficient. …”
Get full text

Investigation of Rainfall Infiltration and Redistribution in Bare Land Within the Black Soil Region of Northeast China Under Traditional Ridge Tillage Practices by Liangzhi Dong, Jingyi Jiang, Chengpeng Cao, Wencai Dong

“…A prerequisite for the efficient utilization of water and fertilizer in the traditional ridge farming model in the black soil region of Northeast China is the precise elucidation of the small-scale temporal and spatial characteristics of rainfall infiltration and redistribution. …”
Get full text

Green Infrastructure Network Planning in Urban Fringe Areas Based on the Characteristics of Agricultural and Forestry Landscape Ecological Network in a Metropolitan City by Dongmeng Wang, Can Zhao, Baolin Xia, Chenming Zhang, Dezheng Kong, Qindong Fan

“…Finally, based on the evaluation results, a classified network planning was conducted, and a triple-network integrated planning strategy was proposed. …”
Get full text

The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method by Hong WANG, Qiaoshun YAN, Zujun ZHAO, Daxiang CHEN, Zhiming ZHANG

“…High-quality precipitation is an important precondition to conduct the study of ecohydrology and climate change in mountain area.However， complicated terrain and scarce and uneven ground observation stations make the understanding of spatiotemporal variations characteristics of precipitation in the Ailao Mountain Area unclear.In this study， GWR （Geographical Weighted Regression） model is used to downscale GSMaP-Gauge precipitation data with 0.1° spatial resolution to 30 m.After validating the accuracy of downscaled precipitation data by using monthly meteorological stations data， the monthly precipitation dataset from 2000 to 2020 in the Ailao Mountain Area is developed.Based on this dataset， the long-term （2000 -2020） spatiotemporal variations characteristics of precipitation at both annual and monthly scales in the study area are illustrated.The results showed that （1） the accuracy of downscaled GSMaP-Gauge precipitation by GWR model was reliable （R2=0.77， Bias=-0.01）， with the significant improvement of spatial details.（2） Spatially， the annual precipitation amount increased from north to south， and it first increased and then decreased with the rising of elevation in the Ailao Mountain Area.Temporally， there was obvious dry and wet seasons in the study area from 2000 to 2020， with the precipitation amount from May to September accounting for 74.74% of the annual precipitation.And precipitation amount first increased and then decreased from February to December， with the maximum occurred in July.（3） From the aspect of spatiotemporal change， the annual average precipitation amount decreased from 2001 to 2020， only 24.19% area was at an increasing trend concentrated at the southeastern Ailao Mountain Area.As for different months， precipitation amount was significantly increased in January and significantly decreased in May， while the change trends of precipitation in the other months were insignificant.This study has found that GWR downscaling method is valid to obtain high-resolution precipitation data， which is also an effective pathway to clarify the spatiotemporal characteristics of precipitation， and to provide key and basic data for ecohydrological process study and regional water resources management in mountain area.…”
Get full text

Enhancing Predictive Accuracy of Landslide Susceptibility via Machine Learning Optimization by Chuanwei Zhang, Dingshuai Liu, Paraskevas Tsangaratos, Ioanna Ilia, Sijin Ma, Wei Chen

“…These data points, combined with the conditioning factors, formed a spatial dataset for our landslide analysis. To implement the proposed methodological approach, the dataset was divided into two subsets: 70% formed the training subset and 30% formed the testing subset. …”
Get full text

Design of Optimization Method for Light Energy Utilization in Fiber Optic Day-lighting System by WANG Yifang, JIA Xiaoyu, YU Chunrong

“…The experiments are conducted to test and analyze the coupling efficiency and illuminance. …”
Get full text