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42

Workshop Proposal: PySAL : Python Spatial Analysis Library
Rey, Sergio ; Knaap, Elijah
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs. :1-2

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43

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47

Geospatial Analysis by Python and R: Geomorphology of the Philippine Trench, Pacific Ocean
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, China
ISSN: 1305-8614 ; Electronic Letters on Science and Engineering ; https://hal.archives-ouvertes.fr/hal-02425688 ; Electronic Letters on Science and Engineering, 2019, 15 (3), pp.81-94. ⟨10.6084/m9.figshare.11449362⟩ ; https://dergipark.org.tr/tr/pub/else/issue/50887/604976.

oceanology data modeling Philippine Trench Python computing programming
Fachzeitschrift
48

Geospatial Analysis using Python and JupyterHub: Processing, analyzing, and visualizing geospatial data on a high performance GPU server
Martin Christen ; Kompetenzzentrum für nicht-textuelle Materialien

GPU Analytics Deep Learning Visualization Big Data Computer Science
49

WetNet: A Spatial–Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2
Hosseiny, B. ; Mahdianpari, M. ; Brisco, B. ; et al.
IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 60:1-14 2022

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50

Neural Networks for Geospatial Data.
Zhan, Wentao ; Datta, Abhirup
Journal of the American Statistical Association. Mar2025, Vol. 120 Issue 549, p535-547. 13p.

AIR pollution GRAPH neural networks MACHINE learning GAUSSIAN processes GEOSPATIAL data KRIGING
Fachzeitschrift
51

Gold Extraction from China Clay Using Advanced Disintegration and Leaching Techniques
dasgupta, priyadarshini ; orcid:0000-0002-0639-

Technical & Scientific G...
Fachzeitschrift
52

Computing and Plotting Correlograms by Python and R Libraries for Correlation Analysis of the Environmental Data in Marine Geomorphology
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, People’s Republic of China.
Jeomorfolojik Araştırmalar Dergisi / Journal of Geomorphological Researches ; https://hal.archives-ouvertes.fr/hal-02327797 ; Jeomorfolojik Araştırmalar Dergisi / Journal of Geomorphological Researches, 2019, 3, pp.1 - 16. ⟨10.6084/m9.figshare.10012808⟩

Cartography Visualizatio... Mapping Geospatial analysis Mariana Trench Data modelling Data analysis
Fachzeitschrift
53

city2graph: Transform geospatial relations into graphs for spatial network analysis and Graph Neural Networks
Sato, Yuta

GeoAI Graph Neural Networks GNN PyTorch Geometric Geospatial Analysis Urban Analytics
E-Ressource
54

Marine Geospatial Ecology Tools: An integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++
Roberts, Jason J. ; Best, Benjamin D. ; Dunn, Daniel C. ; et al.
Environmental Modelling & Software. Oct2010, Vol. 25 Issue 10, p1197-1207. 11p.

Marine ecology Geospatial data Geographic information s... Computer software Global Positioning Syste... Remote sensing
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56

Sinkhole susceptibility analysis using machine learning for west central Florida
Muili, Olanrewaju ; Babaie, Hassan A.
In Applied Computing and Geosciences September 2025 27

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57

APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies.
Naghibi, Seyed Amir ; Hashemi, Hossein ; Pradhan, Biswajeet
Geoscience Frontiers. Nov2021, Vol. 12 Issue 6, pN.PAG-N.PAG. 1p.

Fachzeitschrift
58

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Tamiminia, Haifa ; Salehi, Bahram ; Mahdianpari, Masoud ; et al.
In ISPRS Journal of Photogrammetry and Remote Sensing June 2020 164:152-170

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59

AI Augmentation to Remote Sensing Imagery in Forestry Conservation & Restoration for Increased Responsive Capabilities
Gandikota, Dhanuj Mount ; Gladkova, Taissa ; Tran, Kha-Ai ; et al.
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Applied Imagery Pattern Recognition Workshop (AIPR), 2022 IEEE. :1-16 Oct, 2022

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60

Mapping explanation - Python toolchaing for spatial interpretative machine learning
Jarosław Jasiewicz ; Kompetenzzentrum für nicht-textuelle Materialien

Computer Science Studienbereich Informati... Ingenieurwissenschaften

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