Suchergebnisse - Learning Geospatial Analysis with Python

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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

Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, P.R.C.
ISSN: 1694-7398 ; MANAS Journal of Engineering ; https://hal.archives-ouvertes.fr/hal-02425689 ; MANAS Journal of Engineering, 2019, 7 (2), pp.99-113. ⟨10.6084/m9.figshare.11454768⟩ ; https://dergipark.org.tr/tr/pub/mjen/issue/50947/560487.

Python geomorphology data analysis statistics Mariana trench ACM: I.: Computing Metho... …

Fachzeitschrift

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

Fachzeitschrift

Grid resilience HAND model Flood modeling Power outage prediction Machine learning Geospatial analysis …

Dissertation

Deep-Sea Trenches of the Pacific Ocean: a Comparative Analysis of the Submarine Geomorphology by Data Modeling Using GMT, QGIS, Python and R.
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Ocean Administration (SOA), Marine Scholarship of China, People’s Republic of China (P. R. C.), Beijing, Grant #2016SOA002, 2016-2020

Geology Geology Geophysics Geography R programming Python programming Matlab …

Konferenz

Fachzeitschrift

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

E-Ressource

Fachzeitschrift

DEVELOPING AN AI TOOL FOR FOREST MONITORING: INTRODUCING SYLVAMIND AI.
KESKES, Mohamed I. ; NIȚĂ, Mihai D.
Bulletin of the Transilvania University of Brasov, Series II: Forestry, Wood Industry, Agricultural Food Engineering. 2024, Vol. 17 Issue 2, p39-54. 16p.

FOREST monitoring DEFORESTATION BIODIVERSITY CLIMATE change DEEP learning

Fachzeitschrift

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

E-Ressource

Soil Study of Coastal Hyperspectral Data using K-means and LDA (Latent Dirichlet Allocation)
Shah, Dharambhai ; Shah, Pooja
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) Electronics, Communication and Aerospace Technology (ICECA), 2020 4th International Conference on. :1258-1262 Nov, 2020

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