Suchergebnisse - "Toolbox Python script"

Analyzing Randomness in Point Patterns: An Algorithmic Approach

Autoren: Sampaio, Tony Viana, Cláudia M. Gomes, Eduardo et al.

Schlagwörter: Point patterns, Bonferroni correction, Toolbox Python script, Randomness, QGIS

Algorithm for Analyzing Randomness in Point Patterns

Autoren: Sampaio, Tony Rocha, Jorge Viana, Cláudia M. et al.

Weitere Verfasser: Sampaio, Tony Rocha, Jorge Viana, Cláudia M. et al.

Quelle: MethodsX
MethodsX, Vol 14, Iss, Pp 103360-(2025)

Schlagwörter: Point patterns, Science, Randomness Point Pattern Test (RPPT), Bonferroni correction, Toolbox python script, Medicine and Dentistry, Randomness, QGIS

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/09af758f912449af8e8891b8a9080313
http://hdl.handle.net/10400.5/100631
https://hdl.handle.net/10400.5/100631

Algorithm for analyzing randomness in point patterns

Autoren: Sampaio, Tony Rocha, Jorge Viana, Cláudia M. et al.

Weitere Verfasser: Sampaio, Tony Rocha, Jorge Viana, Cláudia M. et al.

Schlagwörter: Bonferroni correction, Randomness, Point patterns, Toolbox python script, QGIS

Dateibeschreibung: application/pdf

Relation: 2215-0161

Verfügbarkeit: http://hdl.handle.net/10400.5/100631

Evaluation of collapse moment of pressurized 30°–180° bend pipes subjected to out-of-plane bending moment.

Autoren: Kumar, Manish Roy, Pronab Khan, Kallol

Quelle: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); May2022, Vol. 236 Issue 10, p5545-5555, 11p

TASOW – A tool for the automated selection of potential windbreaks

Autoren: Scheper, Simon Kitzler, Barbara Weninger, Thomas et al.

Weitere Verfasser: Scheper, Simon Kitzler, Barbara Weninger, Thomas et al.

Quelle: MethodsX, 9, 101826, (2022-08-24)

Schlagwörter: Wind erosion, Risk, soil protection, ecosystem service, RWEQ, ArcGIS Pro, ModelBuilder, Python

Relation: https://doi.org/10.1016/j.mex.2022.101826; https://zenodo.org/communities/rdm_unibas; oai:zenodo.org:7056774

Verfügbarkeit: https://doi.org/10.1016/j.mex.2022.101826