J 2016

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

KOCIÁNOVÁ, Lenka a Rostislav MELICHAR

Základní údaje

Originální název

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

Autoři

KOCIÁNOVÁ, Lenka (203 Česká republika, garant) a Rostislav MELICHAR (203 Česká republika, domácí)

Vydání

Computers & Geosciences, 2016, 0098-3004

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 2.533

Kód RIV

RIV/00216224:14310/16:00089245

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000368220600007

Klíčová slova česky

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

Klíčová slova anglicky

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

Štítky

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

Anotace

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.