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2

Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC) State Oceanic Administration (SOA) Marine Scholarship of China, Grant Nr. 2016SOA002
International Journal of Environment and Geoinformatics. 6(3):225-237

GMT Mapping Python Statistics Mariana Trench Marine Geology
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3

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. 3:1-16

Cartography Visualizatio... Mapping Geospatial analysis Mariana Trench Data modelling Data analysis
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4

Processing oceanographic data by Python libraries NumPy, SciPy and Pandas
Lemenkova, Polina ; Ocean University of China (OUC)
Aquatic Research. 2(2):73-91

Data analysis Pandas Statistics NumPy SciPy Programming language
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5

Modeling and Analyzing Urban Networks and Amenities with OSMnx
Geoff Boeing
Geographical Analysis.

FOS: Computer and inform... Physics - Physics and So... graph theory network models open-source software open data
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6

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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7

Computational Benchmark Study in Spatio‐Temporal Statistics With a Hands‐On Guide to Optimise R.
Tedesco, Lorenzo ; Rodeschini, Jacopo ; Otto, Philipp
Environmetrics. Jul2025, Vol. 36 Issue 5, p1-24. 24p.

Geospatial data Computational statistics Benchmark problems (Comp... Data structures Spatiotemporal processes Python programming langu...
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8

A geospatial approach to identifying and mapping areas of relative environmental pressure on ecosystem integrity
Nasr, Mina ; Orwin, John F.
In Journal of Environmental Management November 2024 370

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9

Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas
David Kasperek ; Michal Podpora
Applied Sciences, Vol 14, Iss 24, p 11978 (2024)

satellite imagery road segmentation geospatial data optimiza... dataset creation and lab... machine learning image processing
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10

XCast: A python climate forecasting toolkit
Kyle Joseph Chen Hall ; Nachiketa Acharya
Frontiers in Climate, Vol 4 (2022)

geospatial data machine learning statistical learning Python tools climate forecasting parallel computing
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11

GEOSPATIAL DATA STREAM PROCESSING IN PYTHON USING FOSS4G COMPONENTS
G. McFerren ; T. van Zyl
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B7, Pp 931-937 (2016)

Technology Engineering (General). C... TA1-2040 Applied optics. Photonic... TA1501-1820
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12

Geospatial Data Science Quick Start Guide
Hassan, Abdishakur ; Vijayaraghavan, Jayakrishnan ; Hassan, Abdishakur ; et al.

Electronic Resource
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13

Data Science and Knowledge Discovery
Portela, Filipe

crisis reporting chatbots journalists news media COVID-19 textbook research
eBook
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14

Modeling and Analyzing Urban Networks and Amenities with OSMnx
Boeing, Geoff
Geographical Analysis, 2025

Physics - Physics and So... Computer Science - Mathe... Electrical Engineering a... Nonlinear Sciences - Ada... Physics - Applied Physic... Statistics - Computation
Report
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15

USING JUPYTER NOTEBOOKS FOR VIEWING AND ANALYSING GEOSPATIAL DATA: TWO EXAMPLES FOR EMOTIONAL MAPS AND EDUCATION DATA
G. S. Camara ; S. P. Camboim ; J. V. M. Bravo
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W2-2021, Pp 17-24 (2021)

Technology Engineering (General). C... TA1-2040 Applied optics. Photonic... TA1501-1820
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16

Analyse critique et réflexion quant à l'application et l'adaptation des modèles du Riverscapes Consortium sur le territoire et le contexte français : l'exemple du bassin versant de la Drôme
George, Clément ; Université Lumière - Lyon 2 - UFR Temps et Territoires (UL2 UFR TT GHHAT) ; Université Lumière - Lyon 2 (UL2) ; et al.
Milieux et Changements globaux. 2024

Water resources developm... France Rivers United States Data modeling (IT) Geospatial data
Dissertation/ Thesis
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17

CLUSTER ANALYSIS: A COMPREHENSIVE AND VERSATILE QGIS PLUGIN FOR PATTERN RECOGNITION IN GEOSPATIAL DATA
A. Folini ; E. Lenzi ; C. A. Biraghi
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W1-2022, Pp 151-157 (2022)

Technology Engineering (General). C... TA1-2040 Applied optics. Photonic... TA1501-1820
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18

Combining explanatory crop models with geospatial data for regional analyses of crop yield using field-scale modeling units
RESOP, Jonathan P ; FLEISHER, David H ; QINGGUO WANG ; et al.
Computers and electronics in agriculture. 89:51-61

Agronomy, agriculture, p... Agronomie, agriculture,... Electronics Electronique Computer science Informatique
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19

An approach that utilizes blockchain to effectively and securely preserve data privacy for location data from IoT in smart cities
D. Rawal ; J. Seedorf ; B. Patil
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W13-2025, Pp 201-208 (2025)

Technology Engineering (General). C... TA1-2040 Applied optics. Photonic... TA1501-1820
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20

A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations
THORP, K. R ; BRONSON, K. F
Environmental modelling & software. 50:25-36

Ecology Ecologie Environment Environnement Computer science Informatique
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