• Suche: Learning Geospatial Analysis with Python

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61

R Libraries {dendextend} and {magrittr} and Clustering Package scipy.cluster of Python For Modelling Diagrams of Dendrogram Trees
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Oceanic Administration, Marine Scholarship of China, Grant Nr. 2016SOA002, China.
Carpathian Journal of Electronic and Computer Engineering. 13(1):5-12

clustering data analysis data sorting data ranking dendrogram R …
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62

Deep-Sea Trenches of the Pacific Ocean: a Comparative Analysis of the Submarine Geomorphology Using Data Modeling by GMT, Python and R
Lemenkova, Polina ; Schmidt United Institute of Physics of the Earth [Moscow] (IPE) ; Russian Academy of Sciences [Moscow] (RAS)

Data analysis Modelling Programming languages Machine learning Deep learning Big data …
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63

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 …
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64

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
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65

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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67

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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68

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.

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69

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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70

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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71

7 - Machine learning for analysis of geo-exploration data
Pour, Amin Beiranvand ; Harris, Jeff ; Zuo, Renguang
In Geospatial Analysis Applied to Mineral Exploration 2023:279-294

Buch
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72

elapid: Species distribution modeling tools for Python
Anderson, Christopher B. ; orcid:0000-0001-7392-

biogeography species distribution mod... geospatial statistics machine learning python
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73

Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP
Scavuzzo, Carlos Matias ; Scavuzzo, Juan Manuel ; Campero, Micaela Natalia ; et al.
In Infectious Disease Modelling March 2022 7(1):262-276

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74

GeoHealth: Geographic Information System for Health Management and Clinical, Epidemiological and Translational Research
Alberto Moreno Conde, PHD Alberto Moreno Conde
GeoHealth: Geographic Information System for Health Management and Clinical, Epidemiological and Translational Research

Report
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75

Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis
Zhang, Yanan ; Liu, Renjing ; Heidari, Ali Asghar ; et al.
In Neurocomputing 21 March 2021 430:185-212

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77

Generative AI with prompt engineering in construction: Enhancing predictive slope stability modelling for safe, sustainable, climate-smart mining practices
Kamran, Muhammad ; Faizan, Muhammad ; Wang, Shuhong ; et al.
In Geoscience Frontiers November 2025 16(6)

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78

Ciaran1981/geospatial-learn: Geospatial-learn 0.3 release
Ciaran

geospatial-analysis geospatial-processing remote-sensing machine-learning python
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79

Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness
Lemenkova, Polina ; Schmidt United Institute of Physics of the Earth [Moscow] (IPE) ; Russian Academy of Sciences [Moscow] (RAS)
Czech Polar Reports. 11:67-85

Antarctic GRASS GIS script cartography mapping topography …
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