11 documents found in 121ms
# 1
Daniel Becker • Jan Verheul • Mirijam Zickel • Yasa Yener • Christian Willmes
Abstract: This raster data is part of a geospatial dataset that contains climate data from 30 ka to 13 ka in 1000 year steps, provided by Tallavaara et al. (2015). The variables are PET (Potential Evapotranspiration) and WAB (Water balance) in mm/year and MCM (Mean temperature of the coldest month) in C°. The source was supplied in a .xls file containing longitude/latitude coordinates with the related variable values. It was imported to a shapefile with QGIS' "Create a Layer from a Delimited Text File" tool. The vector point data has been converted to GeoTIFF with GDAL's gdal_rasterize tool. The dataset has a resolution of 216x141 cells, with a cell size of 0.375° width and 0.25° height. The original data by Tallavaara et al. (2015) was supplied in a .xls file containing longitude/latitude coordinates with the related variable values.
# 2
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: Python based pyGRASS scripts implementing Köppen-Geiger climate classifications from CMIP5 and PMIP3 climate model simulation datasets. And a script for computation of area statistics of the classification data, as well as documentation for using the scripts and accessing the source climate simulation data.
# 3
Jan Verheul • Mirijam Zickel • Daniel Becker • Christian Willmes
Abstract: This is GIS dataset contains the major inland waters (rivers and lakes) of Europe during the LGM. The data was collected from data published in scholarly works.
# 4
Daniel Becker • Jan Verheul • Mirijam Zickel • Christian Willmes
Abstract: The here documented GIS map and dataset contains a collection of Last Glacial Maximum (LGM, ~21k yBP) paleoenvironmental data. It is the first result of a project that aims to acquire, produce and publish GIS datasets from non-GIS based sources such as analogous maps, textual informations or figures of scientific publications for prehistoric time slices. In combination with modelling results and already available GIS-datasets related to the mentioned time frame, it should enable other researchers and members from other projects to use the maps in their work, properly cited and referenced. The map shows LGM land ice sheets, paleo-stream networks and inland water in Europe, a sea-level adapted (-120m) land mass and a Köppen-Geiger climate classification derived from climate model data.
# 5
Daniel Becker • Christian Willmes
Abstract: This is a plugin for QGIS to interface the openModeller software package. OpenModeller is a software framework for species’ potential distribution modelling. The package includes (among other program files) the om_console.exe executable which is used for the modelling process. The program file is controlled by a configuration file and needs several files as input data. The configuration file contains the paths to the input data, configuration parameters for the output data and the selected modelling algorithm (GARP, Bioclim, Maxent, etc.). Further input data is the occurrence file which contains the occurrence data for a species with a label and geographic coordinates in longitude/latitude notation. The last part is the environmental data that contains environmental variables such as climate or topographic data. The plugin enables the user to select point and raster layers and a modelling algorithm in QGIS which are then converted (in case of the occurrence data) and copied to a new folder structure and written into the configuration file accordingly, depending on the selection and assignment. Subsequently, the generated files and project folder can be directly used by the om_console executable.
# 6
Mirijam Zickel • Daniel Becker • Jan Verheul • Yasa Yener • Christian Willmes
Abstract: This GIS dataset contains 23 different modelled land masks of characteristic sea level high stand/ low stand for events and intervals during a period from 140 ka until today in Europe, the Nearer East and northern parts of Africa. The sea level data was collected from data published in scholarly works and GIS proceeded using GIS software QGIS and ArcMap also as GEBCO DEM.
# 7
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Köppen-Geiger climate classification of the MPI-ESM-P Last Glacial Maximum (21k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
# 8
Christian Willmes • Daniel Becker • Christoph Hütt • Sebastian Brocks • Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P Mid-Holocene (6k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
# 9
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P PreIndustrial r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
# 10
Daniel Becker
Abstract: Die Bewohner einer archäologischen Fundstätte müssen sich regelmäßig mit Ressourcen versorgen, dabei geht man davon aus, dass die Fläche die er dazu nutzen kann, durch seine fußläufige Mobilität begrenzt ist. Die Geschwindigkeit mit der der Mensch sich durch seine Umwelt bewegen kann, ist dabei, neben seiner physiologie, maßgeblich durch topographische Faktoren beeinflusst. Die Arbeit untersucht die Möglichkeit mit Hilfe von Berechnung der hangneigungsabhängigen Gehgeschwindigkeit Einzugsgebiete (Site Catchments) archäologischer Fundstätten zu modellieren und zeigt eine Methode auf, die dies ermöglicht. Neben der Hangneigung werden weitere Faktoren wie Gewässernetze, Vegetation und Schneebedeckung in die Modellierung mit einbezogen, um die Machbarkeit aufzuzeigen und ihren Einfluss auf die Einzugsgebiete zu demonstrieren. Als Endergebnis der Modellberechnungen werden neben Site Catchments auch Least Cost Paths modelliert, um die Auswirkungen der verschiedenen Faktoren auf ein potenzielles Verbindungsnetzwerk zwischen mehreren archäologischen Fundstätten darzustellen.
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