Le Transperceneige et Snowpiercer : figuration, sas et espaces de transit(ion) by Tessa Sermet

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Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms by Jeffry M. Flenniken, Steven Stuglik, Basil V. Iannone

“…Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces the reader to a free GIS software package called Quantum GIS (QGIS), walking the reader through simple GIS processes that can be used to visualize spatial patterns of importance to a variety of fields, including natural resources, agriculture, and urban planning. …”
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The impact of daily lifestyle on the emergence of new spaces in housing by Maede Pashaei, Hamed Beyti

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Ecosystem Services Concept and Terminology as reflected in Shanghai Urban District Master Planning by Verena Knöll, Matthias Falke, Gan Jing, Zheng Chen, Nannan Dong, Harald Zepp

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The Potential Impact of Peri-Urbanisation to the Continuity of Agricultural Practices Surrounding Malang City, Indonesia: A Spatial Autocorrelation Analysis by Chairani Maulidia Savira, Musthofa Azis, Wibisono Hafidz, Kurniawan Andri, Rijanta R.

“…By using the case of Malang Regency in East Java Province where the peri-urbanisation of Malang City has taken place, this research utilises the spatial autocorrelation analysis to explain the spatial pattern of peri-urbanisation. …”
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Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 by Yuxuan Fan, Shunqiang Hu, Xiwen Sun, Xiaoxing He, Jianhao Zhang, Wei Jin, Yu Liao

“…Investigating sea level variations in semi-enclosed basins such as the Black Sea is crucial for elucidating regional responses to climate change and characterizing its unique spatiotemporal evolution patterns. In this study, we employ satellite altimetry (SA) data to study sea level changes, spatial variability, and seasonal patterns in the Black Sea over eight distinct time periods with temporally correlated noise, and our results show good consistency with existing studies. …”
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Identification of common spatial and temporal trends in the epidemiology of cattle bovine tuberculosis and human extrapulmonary and drug-resistant tuberculosis in Malawi by Alfred Ngwira, Samuel Manda, Esron Daniel Karimuribo, Sharadhuli Iddi Kimera

“…Conclusion: Cattle BTB and human EPTB and DRTB have a common spatial pattern in the west and southern parts of Malawi. …”
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A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks by Mariam Labib Francies, Abeer Twakol Khalil, Hanan M. Amer, Mohamed Maher Ata

“…To address these challenges, this research presents an innovative framework known as the Continual Learning-based Spatial–Temporal Graph Convolutional Recurrent Neural Network (STGNN-CL) for persistent and accurate long-term traffic flow prediction. …”
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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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Research on the Spatial Network Connection Characteristics and Influencing Factors of Chengdu–Chongqing Urban Agglomeration from the Perspective of Flow Space by Yangguang Hao, Zhongwei Shen, Jiexi Ma, Jiawei Li, Mengqian Yang

“…The differences in the secondary industrial structure and public budget expenditures have a significant positive impact on the intensity of inter-city element flows, and the differences in per capita consumption expenditures have a significant negative impact, collectively influencing the formation of the spatial connectivity pattern of the CCUA. The findings of this study can provide a scientific basis for the construction and optimization of the spatial connectivity pattern of the CCUA.…”
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Interleukin Family-Based Signature Relates to Cancer-Associated Fibroblasts Spatial Distribution and Immune Therapy Response in Pancreatic Carcinoma by Cheng Y, Xiao S, Li X, Wang B, Lei Y, Sun P, Ma L, Zhu Y

“…Correlation between IL expression pattern, CAF infiltration, and immunotherapy response was evaluated using clinical tissue samples.Results: This study constructed the first IL family expression pattern to predict CAFs infiltration and prognosis in PC. …”
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Changes in ethnic spatial segregation across English housing market areas (2001-2011): identifying ethnic and context configurations by Carolina V. Zuccotti

“…As examples of the first, Pakistanis and Bangladeshis’ segregation levels are often the highest, independently of their HMA of residence; and also seem to be following specific (and contrasting) patterns of change over time. As regards context configurations, Birmingham appears as a favourable context for changes in spatial segregation, while the opposite is observed for Leicester and Bradford.…”
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Research on the evolution and influencing factors of the spatial form of typical tourist towns: a case study of Wulingyuan district, China by Tengzhe Long, Bincheng Luo, Jinlin Wu, Jinlin Wu, Jing Yang, Jing Yang, Yunzhe Wang, Yunzhe Wang

“…In this study, the urban area of Wulingyuan District, China, a Natural World Heritage Site, is taken as the research object.MethodsBased on Landsat remote sensing images at five time nodes between 2000 and 2022, the spatial and temporal characteristics and evolutionary patterns of urban expansion in Wulingyuan are quantitatively investigated and the driving factors are explored using fractal theory, the equal sector analysis method, partial least squares regression (PLSR), and the standard deviation ellipse.ResultsThe results reveal the following. (1) From 2000 to 2022, urban expansion has undergone four clear stages, namely, medium-speed, low-intensity, low-speed, low-intensity, medium-speed, medium-intensity, and medium-speed, high-intensity. …”
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Benefits from a new transit line: Exploring the impact of rare users and spatially heterogeneous variations in intensity of use by Durba Kundu, Somwrita Sarkar, Emily Moylan

“…While research on transit ridership patterns exists, few studies compare users of the old and new modes in terms of spatial distribution and intensity of use. …”
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Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment. by Mai Chan Lau, Jennifer Borowsky, Juha P Väyrynen, Koichiro Haruki, Melissa Zhao, Andressa Dias Costa, Simeng Gu, Annacarolina da Silva, Tomotaka Ugai, Kota Arima, Minh N Nguyen, Yasutoshi Takashima, Joe Yeong, David Tai, Tsuyoshi Hamada, Jochen K Lennerz, Charles S Fuchs, Catherine J Wu, Jeffrey A Meyerhardt, Shuji Ogino, Jonathan A Nowak

“…TIPC identified tumor subtypes with unique spatial patterns between tumor cells and T lymphocytes linked to certain molecular pathologic and prognostic features. …”
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Spatial Coupling Characteristics of Ecosystem Services and Residents' Well- Being at Mining Area of Loess Plateau in Western Shanxi Province by Xiuqin Liang, Qiang Feng, Baoling Duan

“…[Results] ① The spatial pattern of ecosystem service value showed high in the east and low in the west with obvious difference between the east and the west. ② The spatial pattern of residents' well-being showed low in the middle and high in the east and west. ③ The spatial distribution of coupling coordination degree showed a feature of high in the east and low in the west with coordination state being the main factor, good coordination accounted for 58.9%. ④ The spatial difference of coupling coordination degree was affected by many factors, among which land use degree, vegetation cover degree and average annual precipitation were the main influencing factors, and the interaction between vegetation cover degree, land use degree and other factors had a greater impact on the coupling coordination degree. …”
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Study on Spatial and Temporal Evolution of Carbon Stock in East Coastal Area of Zhejiang Based on InVEST and GIS Modeling by Chen Fang, Zhiyu Wang

“…The shifts in carbon stock were mainly driven by conversions between land use types, with woodlands serving as the predominant carbon reservoir. (3) Global spatial correlation analysis reveals that carbon stocks across the five periods exhibit a distinct spatial convergence and clustering pattern; local spatial correlation analysis indicates that high-high agglomeration zones account for 4.48% of the study area, predominantly located in the mountainous regions of western Taizhou City, while low-low agglomeration zones range from 12.91% to 11.54% of the total study area, primarily situated in the urban centers of Jiaxing City and Ningbo City, areas characterized by dense populations and extensive building sites. …”
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The Optimization Design of Sub-Regions Scanning and Vibration Analysis for Beaconless Spatial Acquisition in the Inter-Satellite Laser Communication System by Yunjie Teng, Min Zhang, Shoufeng Tong

“…We mainly report an efficient approach to optimize the design of beaconless spatial laser acquisition. In order to analyze the influence of vibration environment on the beaconless spatial acquisition, a demonstration of an efficient method will be presented to simulate the level of satellite platform vibration. …”
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Urban Environmental Health: From Urban Spatial Structure to Citizen Participation (Case Study: Tehran Municipality District 1) by Jila Sajjadi, Mohammad Taghi Razavian, Aiub Maroofi

“…Moreover, the patterns of healthy environment conform to citizen participation patterns in promoting urban environmental health.…”
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Long - Term Assessment of the Spatial Temporal Trends in selected Cloud Radiative Properties over the Three Distinct sites in Kenya by Sostine N. Makokha, John W. Makokha, JWM, Festus B. Kelonye

“…The Spatial patterns of seasonal mean of cloud parameters from the sensors and the model were generally characterized with positive and negative trends over Kenya observed during the four seasons Spatial trends in the selected cloud properties were determined and observed to vary both seasonally and regionally, the study revealed patterns of trends in cloud radiative properties and forms a basis for further research on clouds over Kenya. …”
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