J 2016

OATools: An ArcMap add-in for the orientation analysis of geological structures

KOCIÁNOVÁ, Lenka and Rostislav MELICHAR

Basic information

Original name

OATools: An ArcMap add-in for the orientation analysis of geological structures

Authors

KOCIÁNOVÁ, Lenka (203 Czech Republic, guarantor) and Rostislav MELICHAR (203 Czech Republic, belonging to the institution)

Edition

Computers & Geosciences, 2016, 0098-3004

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10500 1.5. Earth and related environmental sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 2.533

RIV identification code

RIV/00216224:14310/16:00089245

Organization unit

Faculty of Science

UT WoS

000368220600007

Keywords (in Czech)

Orientační analýza; ArcGIS; kulová projekce; prostorové průměrování; tektonická mapa; osa vrásy

Keywords in English

Orientation analysis; ArcGIS; Spherical projection; Spatial averaging; Tectonic map; Fold axis

Tags

Změněno: 7/4/2017 15:58, Ing. Andrea Mikešková

Abstract

V originále

This paper describes Orientation Analysis Tools (OATools), a new add-in, which has been developed for ArcGIS software (ESRI) to allow the spatial analysis of structural data. These tools bring a complex approach to structural data analysis that highlights the spatial aspect of oriented data. In this paper we introduce the functionality of this add-in, which allows users to plot selected data in azimuthal projection, calculate and plot fold axes, construct density distribution diagrams and rose histograms, and create maps of spatial averages and fold axes. There is a link between projections and maps; therefore, it is possible to select point data in the projection and see their location on the map, and vice versa. Practical use of these tools is demonstrated in a case study of the Svratka and Polička crystalline units (Eastern margin of the Bohemian Massif, Czech Republic), where a large dataset was collected. Using OATools the structural conditions were explored. Major changes in foliation dip directions were detected and the axial surfaces of the folds were determined. We also demonstrate the benefit of applying these tools, together with the potential of GIS with respect to spatial data queries, storage, and visualization.