Posted by: Daniela Langmeier | 05/06/2013

Welcome!

You are here at my portfolio which I created for my Applied Geoinformatics studies at the University of Salzburg from 03/2011 to 06/2013.

On the different pages listed above you get an insight into the different topics of my studies. It includes the contents and my qualifications. Besides the geographical competence working with computer based methods is necessary. My personal interest in the far reaching usage of data in different applications, the investigation of different possibilities in Geographical Informationsystems (GIS) by combining outputs generated by various algorithms, indicator development, as well as modelling and simulation in general (and in particular surface processes due to the interaction of nature and human kind) and especially the development and potential of Free and Open Source GIS (FOSS GIS) induced me to study Applied Geoinformatics.

I have written my master thesis on the change of landscape composition and -structure between 1953/’54 and 2010 in two ski areas of the Pongau, a district of Salzburg, which transformed from a region shaped by traditional agriculture and forestry to a multifunctionally used one, where tourism, intensive agriculture and forestry dominate land use (pdf).
landcoverpatches
“Realize complexity – analyze on different scales – detect the context”

Many issues have a spatial dimension. Furthermore, the increasing networking or rather globalization of our daily life makes it difficult to overview the processes. The analysis and representation of them means a big challenge.

Geoinformatics with their methods is appropriate to solve these problems efficient because of its view from a macro scale (e.g. analyze Europe by satellite images and orthophotos). A rapid overview of the situation is possible and Hot Spots can be identified in an objective way by automation as well as the relationships between different issues. This is done by overlaying the different issues (so-called “layers”). In this way an important basis for further decisions is created. The decision finding through GIS outlines a surplus value of the generated informations in contrast to conventional methods, which are based on in-situ measurements and are associated with a high time- and cost effort. Still random samples taken from direct measurements are necessary for the validation of results.
It is shown, that Geoinformatics are highly related to Geography. An all-inclusive investigation succeeds by the interdisciplinarity of Geoinformatics and its various application fields and fulfills important tasks by being the interface of nature-, social and in engineering sciences.

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