OBSERVED AND PROJECTED CLIMATE CHANGE AND ITS IMPACT ON ECOSYSTEMS’ PRODUCTIVITY IN FOREST-STEPPE AND STEPPE ZONES OF RUSSIA AND NEIGHBORING (FSU) COUNTRIES by NICOLAY DRONIN, NATALIA TELNOVA, ANDREY KIRILENKO, ELENA MILANOVA, NATALIA KALUTSKOVA

“…The paper compares model projections of climate change in the main grain-producing region of Eastern Europe with currently observed climate change and its impact on biological productivity of ecosystems. Spatial pattern comparable analysis of some climate variables and NDVI time series proves projections of aridization of the forests-steppe and steppe zones for the whole region with some exclusion for the territories experienced local increase of precipitation or better land management. …”
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Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction by Sung Jae Kim, Yongbok Cho

“…These interpolated images are then used as input for a ConvLSTM (Convolutional Long Short-Term Memory) network, which integrates convolutional layers to capture spatial patterns and LSTM units to model temporal dependencies. …”
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Evaluation of water supply function in the Economic Belt of the Northern Slope of the Tianshan Mountains based on the InVEST model by Wei Liu, Hao Tian, Xingang Xu, Guang Yang

“…The average multi-year depth of water production was 87.49 mm, totaling 71.59 × 108 m3. The spatial distribution pattern of the water supply function in the study area during the last 20 years consistently exhibited a distinct pattern: mountainous areas displayed the highest water supply capacity, followed by oases, and deserts ranked the lowest. …”
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Analysis of Carbon Source/Sink Driving Factors Under Climate Change in the Inner Mongolia Grassland Ecosystem Through MGWR by Ritu Wu, Zhimin Hong, Wala Du, Hong Ying, Rihan Wu, Yu Shan, Sainbuyan Bayarsaikhan, Dan Xiang

“…Both measures showed a spatial pattern of high values in the northeast and low values in the southwest, as well as a temporal pattern of high values in summer and low values in winter. (2) The normalized difference vegetation index (NDVI) and solar radiation had promoting effects on NPP, where NDVI had the largest significant positive correlation area. …”
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Restrictive Cardiomyopathies: The Importance of Noninvasive Cardiac Imaging Modalities in Diagnosis and Treatment—A Systematic Review by Aidonis Rammos, Vasileios Meladinis, Georgios Vovas, Dimitrios Patsouras

“…Echocardiography reveals normal or hypertrophied ventricles, preserved systolic function, marked biatrial enlargement, and impaired diastolic function, often with restrictive filling pattern. CMR offering a higher spatial resolution than echocardiography can provide detailed information about anatomic structures, perfusion, ventricular function, and tissue characterization. …”
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Utilizing Kernel Density Estimation and Butterfly Diagram to Characterize the Gait Variability in the Fallers: A Cross‐Sectional Study by Somayeh Mehrlatifan, Ali Fatahi, Davood Khezri

“…We proposed the utilization of kernel density estimation (KDE) and center of pressure (COP) symmetry index to analyze the spatial probability distribution of intersections in butterfly diagrams and to characterize the variability of gait patterns in elderly fallers. …”
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Scenes, Quarters and Clusters: the Formation and Governance of Creative Places in Urban China by Wen Wen

“…This paper presents a PhD program examining the formation and governance patterns of the social and spatial concentration of creative people and creative businesses in cities. …”
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A big data approach to mitigating the MAUP in measuring excess commuting by Cehong Luo, Yujie Hu, Fahui Wang

“…Through the application of Linear Programming (LP) and Integer Linear Programming (ILP) models, this research measures minimum and actual commuting patterns across different spatial scales—census tract, block group, and individual trip levels. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…Since the task is to explore patterns, i.e., urban heat islands, Gaussian blurring is implemented on these generated 2D raster data before the training process. …”
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Trends of changes in the occurrence of ice phenomena on rivers in the upper Vistula river basin (Carpathians, Poland) by Anna Szczerbińska, Janusz Siwek

“…Study focus: The aim was to identify the factors determining changes in the river ice regime, including the spatial patterns within the basin. The analysis concerns changes in the formation of ice phenomena in 1981–2018. …”
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Water Hyacinth’s Extent and Its Implication on Water Quality in Lake Victoria, Uganda by Hussein Kiyemba, Bernard Barasa, Joyfred Asaba, Paul Makoba Gudoyi, Gertrude Akello

“…High-resolution satellite images (2016–2019) were obtained and used to monitor the spatial extent of the water hyacinth, a household survey was conducted to examine the determinants of the water hyacinth’s extent and patterns while water samples were drawn and analysed for physicochemical properties. …”
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A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification by V. Sangeetha, L. Agilandeeswari

“…Subsequently, we integrate autoencoders to incorporate non-linear transformations in the feature extraction phase, thereby improving the model’s capacity to learn intricate patterns within the data. A key goal of our methodology is to effectively embed spatial information into the representation. …”
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Spatiotemporal Changes and Simulation of the Architectural Ethnicity at World Heritage Sites under Tourism Development by Xi Yang, Cong Peng, Xueling Jiang, Juan Wang, Jun Liu

“…Then, we proposed a Logistic-CA-Markov coupling model to analyse architectural ethnicity transformations and simulate the spatiotemporal patterns of the ethnicity of architecture at the site in 2025 and 2035. …”
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Spatiotemporal Differences in Regional Tourism Efficiency: An Empirical Study From Guangdong Province, China by Haifei Wang

“…The evolution of spatial patterns reveals that regions with similar tourism efficiency in Guangdong tend to be spatially concentrated, with strong local stability and clear spatial dependency in the change process of tourism efficiency. …”
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A Study on the Spatiotemporal Characteristics of the Xi’an Metropolitan Area Based on the Coupling and Coordination of Ecosystem Services and Human Well-Being by Yunsong Gao, Pei Zhang, Yuqian Xu, Zhijun Li, Kaixi Liu

“…The ecosystem services in the Xi’an metropolitan area were significantly compromised under the pressure of homogenized human well-being improvement, resulting in weak coupling and coordination between the two. (2) There was a spatial imbalance between supply and demand. Ecosystem service values displayed a core-to-periphery increasing spatial pattern, while human well-being levels exhibited a core-to-periphery decreasing distribution, indicating a marked spatial mismatch. (3) Diverse coupling dynamics within the region were identified. …”
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Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion by Menghui Jiang, Tian Qiu, Ting Wang, Chao Zeng, Boxuan Zhang, Huanfeng Shen

“…Various validation methods, including spatial pattern analysis, time-series comparison, and in-situ validation, are utilized to assess the effectiveness and reliability of the product. …”
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Single-Scene SAR Image Data Augmentation Based on SBR and GAN for Target Recognition by Shangchen Feng, Xikai Fu, Yanlin Feng, Xiaolei Lv

“…Secondly, a specific training pattern for cycle GAN is established to translate noisy RCS images into simulated SAR images that closely resemble real ones. …”
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Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms by Martina Marinelli, Vincenzo Positano, Francesco Tucci, Danilo Neglia, Luigi Landini

“…The proposed automatic registration algorithm smoothes the pattern of the MI and allows it to reach the global maximum of the similarity function. …”
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Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

“…In order to solve the problem of difficulty in learning semantic pattern representations between user dynamic interest sequences using path based and knowledge graph based entity embedding methods, the author proposes research on spatiotemporal data modeling and prediction algorithms in intelligent management systems. …”
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Multivariate geostatistical methods for analysing the contribution of urban lakes and neighbouring greenery to mitigating PM2.5 under stressor indicators by Han Liu, Wenyu An, Arkadiusz Przybysz, Dingyi Hao, Yimei Sun, Junze Song, Jiayi Sui, Jiahan Sun, Chunyang Zhu

“…It allows the scientific community and relevant stakeholders to evaluate which stressors and their interactions in relation to PM removal share a common spatial pattern, and to assess independently the spatial covariation between stressors and PM removal at different spatial scales. …”
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