Construction and Evaluation of Urban Green Infrastructure in Ecologically Vulnerable Areas Based on Multi-Scale and Multi-Objective Approaches: Taking the Four-Lake Hydrographic Ne... by Wenhao Cheng, Caihong Ma

“…Taking the Four-Lake Hydrographic Network (FLHN) in Shizuishan, a prefecture-level city, as an example, this study focuses on identifying the important sources of UGI by integrating both regional and interregional perspectives utilizing morphological spatial pattern analysis (MSPA). UGI networks were constructed and optimized based on trade-offs and synergizing relationships between individual objects using the minimum cumulative resistance (MCR) model, and the UGI network’s stability combined centrality and connectivity aspects, which were subsequently assessed. …”
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Toward a synthesis of Paleoamerican fluted point cultures in the Carolinas by I. Randolph Daniel, Albert C. Goodyear, Christopher R. Moore, David K. Thulman, Joseph E. Wilkinson

“…Spatial distributions of these point types across the state, when combined with similar point distributions across South Carolina, reveal distinct geographic patterns. …”
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Measuring the Green Infrastructure Network Resilience: Based on Disturbance Scenario Simulations by Xuan Wang, Jialu Shi, Chengxin Wang, Xumin Jiao

“…This paper selects Jinan, China as the study area, uses morphological spatial pattern analysis and landscape connectivity analysis methods to select GI sources, and uses minimum cumulative resistance and the gravity model to construct the GI network. …”
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Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

“…Cross-channel features refer to the relationships and dependencies between different data channels, while inter-spatial features refer to patterns within small spatial regions. …”
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Unlocking early solutions: 3D insights into managing impacted maxillary central incisors by Wei Chen, Wei Zhang

“…The data were analyzed using independent t-tests, Chi-square tests, and multifactorial rank analysis. Results Quantitative analysis revealed significant developmental deviations in impacted incisors. …”
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Built environment and residential blocks carbon emissions: a study using advanced metering infrastructure data by Xiaoping Zhang, Xiaoping Zhang, Zixuan Cui, Chaoxian Feng, Xin Wen, Huabin Xiao, Jianbo Ni

“…Spatial autocorrelation analysis indicates a significant positive correlation and a west-south clustering pattern. (3) Land area (LA) is the main emissions affecting factor, followed by green space ratio (GSR) and Land use mixing degree (LMD), whose inhibitory effect exceeds that of traditional high-intensity development indicators. (4) Targeted planning strategies such as strictly controlling land use expansion, improving GSR, and promoting functional combination were proposed. …”
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A remote monitoring approach for coastal engineering projects by C. Cabezas-Rabadán, J. E. Pardo-Pascual, J. Palomar-Vázquez, A. Cooper

“…The waterline positions are then compiled, differences over time are quantified, and a matrix is constructed that allows easy depiction and interpretation of spatial and temporal patterns of erosion/accretion. …”
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Robustness assessment of urban cold island network based on green infrastructure–A case study of Bengbu, China by Nana Guo, Xinbin Liang

“…This study considered the typical city of Bengbu and proposes an urban thermal environment research framework based on the robustness of UCINs, and land use and land surface temperature (LST) data, We extracted the core patches of GI by morphological spatial pattern analysis and screened UCI attributes to determine the UCIN source, constructed the resistance surface of thermal environment with the help of LST characteristics of land use, extracted UCIN corridors by the minimum cumulative resistance, and constructed the UCIN based on GI (GI-UCIN) in the mode of “source-corridor”. …”
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Ecological network construction and land degradation risk identification in the Yellow River source area by Haoxiang Zhang, Qian Song, Shiru Wang, Jianyun Zhao, Wenming Gao

“…Based on ordered weighted average operator, morphological spatial pattern analysis, ecological sensitivity, circuit theory, CA-Markov model, kernel density analysis, and other methods, this study aims to consider the positive and negative connections of the network thus constructing the ecological and risk network and predicting the potential risk areas in the future. …”
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Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…Understanding the distribution and characteristics of these failures is vital for post-event analysis and future risk mitigation. Objectives This study aims to develop a detailed post-event landslide inventory of the Misa basin and to analyze the spatial distribution, the main morphological features, and the environmental context of the triggered landslides. …”
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Research on the Layout of Courtyard Space in Underground Commercial Streets by Yu He, Xiaowei Chen, Meixuan Tian, Chi Zhang, Jing Kang

“…This research investigates the rationality of atrium spatial distribution in underground pedestrian streets, with particular emphasis on developing an evaluation framework for assessing atrium layout appropriateness, using pedestrian congregation patterns shaped by spatial network morphology as the primary evaluation criterion. …”
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MSPA-informed SLEUTH urban growth modeling for green space protection in Ottawa. by Abdolrassoul Salmanmahiny, Scott W Mitchell, Joseph R Bennett

“…The first exclusion layer contained common restricted areas for urban growth, while the second additionally incorporated cores of green spaces defined through Morphological Spatial Pattern Analysis (MSPA), core importance and their corridors for connectivity. …”
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Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure by Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan

“…Abstract Glioma brain tumors have similar textural patterns to other tumors, making their detection and segmentation a challenging process. …”
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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

“…The model is specifically designed to address subtle neuroanatomical differences, offering three key contributions: (1) a tailored DL model that leverages explainability to extract features that boost psychiatric MRI analysis performance, (2) a comprehensive evaluation of the model’s performance in classifying BD and SCH using both spatial and morphological analysis together with classification metrics, and (3) detailed insights, which are derived from both quantitative (performance metrics) and qualitative analyses (visual observations), into key brain regions most relevant for differentiating these disorders. …”
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Integrated profiling of metaplastic breast cancer identifies putative master regulators of intratumoral heterogeneity by Yufan Feng, Albert Xiong, Onkar Mulay, Anna Sokolova, Malcolm Lim, Benjamin Van Haeringen, Natasha McGuire, Xavier de Luca, Peter T. Simpson, Quan Nguyen, Sunil R. Lakhani, Amy E. McCart Reed

“…We used methylation profiling and showed that different morphologies have specific methylation profiles. Furthermore, our spatial transcriptomic approach, using 10× Genomics Visium and trajectory analysis, evidenced that spindle cells form a transition between the originating carcinoma of no-special type (NST) and pleomorphic regions, with osteoid differentiation likely to be an end-stage fate of the chondroid growth pattern, supporting the conversion model of lineage differentiation. …”
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Construction of “Biomigration – Regional Cooling” Multi-functional Ecological Network in Wuhan Urban Agglomeration by Jiajie LI, Yuanyuan GU, Zhong XING

“…Based on the land cover and land surface temperature (LST) of Wuhan urban agglomeration, the research screens the biodiversity source sites and regional cold island source sites by morphological spatial pattern analysis (MSPA) and landscape connectivity. 2) Construction of two types of resistance surfaces. …”
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Study on the Influence Mechanism of Machine-Learning-Based Built Environment on Urban Vitality in Macau Peninsula by Chen Pan, Jiaming Guo, Haibo Li, Jiawei Wu, Nengjie Qiu, Shengzhen Wu

“…In this study, we quantify the intensity of human activities through Baidu heat maps, analyze social interaction patterns using social media check-in data, and integrate built environment elements such as road network topology, 3D building morphology, and the spatial distribution of points of interest (POIs). …”
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Research on the evolution and optimization of ecological networks in arid areas based on machine learning and multi-source remote sensing data by Ruyi Pan, Jie Zhang, Wentao Xue, Qianqian Xia, Jiangxiang Liu, Junjie Yan, Hongbo Ling, Xufan Jin

“…This study proposes a new methodological framework that integrates Morphological Spatial Pattern Analysis, circuit theory, and machine learning models to explore the spatiotemporal evolution and optimization of ecological networks in Xinjiang from 1990 to 2020. …”
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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

“…First, the urban fringe of Zhengzhou was identified based on multi-source data and artificial intelligence, followed by the extraction of green infrastructure elements through morphological spatial pattern analysis. Then, a public benefit output evaluation system was constructed to assess the land value of green infrastructure in the study area. …”
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Spatio-Temporal Dynamics of Sediment Transport Pathways: Sand Apron Bars and Islands of Tokelau and Kiribati, Central Pacific by Eugene C. Rankey, Tion Uriam, Mika Perez

“…GIS analysis of historical aerial images and high-resolution remote-sensing data capture patterns of reef flat change up to 72 years in duration with up to weekly temporal resolution. …”
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