15 documents found in 122ms
# 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
Abstract: To provide paleoenvironmental data for a GIS and geostatistic based Species Distribution Modelling (SDM) application, this comprehensive GIS data set was created. The data set consists of DEM based topography, and of paleoclimate layers, that were used as environmental predictor variables for SDM application.
# 3
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.
# 4
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.
# 5
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.
# 6
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.
# 7
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.
# 8
Finn Viehberg • Christian Willmes • Sarah Esteban • Ralf Vogelsang
Abstract: Our research interests in palaeo-studies in East Africa remain high, partly because of the Out-of-Africa hypotheses predicting Homo sapiens origin to be situated in East Africa. Since several decades archaeologists and geoscientists explore suitable sites to answer related questions. Simultaneously, analytical methods applied to the archives improved in their sensibility or resolution over the given time. The amount of published scientific data is enormous, but has to be carefully checked on their robustness compared to modern standards. Therefore, it is necessary to compile datasets and excerpt the given data that are source of scientific interpretations (e.g., palaeoenvironment, palaeoclimate, evolution patterns, time models etc.). In addition, the names of the study sitesin East Africa are often transcribed from different languages or hold several synonyms for various reasons. Thus, we decided to use a semantic wiki to have the advantage of queryable structured data combined with the ability of web based frontend for collaborative editing of the content. The presented application is based on Semantic Mediawiki (SMW), an extension of the famous Mediawiki software, the widely used wiki system mostly developed and maintained by the Wikimedia foundation as the software base of Wikipedia. The SMW extension allows to enter structured semantic data on wiki pages. This data can then be queried through several interfaces within the wiki and the Mediawiki API as well as an SPARQL endpoint for access from external applications. Query results can be exported in several well known formats, such as CSV, XML, JSON, and more. It is also possible to display query results directly in the wiki, using a number of provided display formats, like tables, data graphs or maps. The presented system allows to collaboratively develop and maintain a data basis and thus implements a collaborative research environment (CRE). The data can be exported for use in scientific software packages for e.g. statistical or GIS analysis. A further outcome of the approach is a domain data model of the structured information stored in the system, which can be formalised and mapped to existing data bases to allow data integration between applications. Details of published and unpublished archaeological and geological sites/localities in East Africa are collected in the presented wiki including their bibliographical reference. For example from sediment records, results from available sedimentological/chemical/biological proxy data (e.g., grain size, total organic carbon, stable isotopes, diatoms, ostracods, magnetic susceptibility) are copied into the database including their spatial resolution. Related dating samples (i.e., 14C, OSL, TSL) are also included with their metadata and lab-codes.
# 9
Christian Willmes • Georg Bareth
Abstract: In the recent past data base systems providing information on early humans and their environment are becoming more and more important and increase rapidly in number. However, this increase in different DB systems is concomitant with an increasing redundancy in the digital information stored in these database systems. Therefore, in this study we explore ways to reduce redundancies due to multiple storage of data and, hence, we show solutions to minimize the requirements to store and manage digital information in the prehistory and paleoenvironment domains. The example is based on the database systems of the DFG financed SFB 806: “Our Way to Europe” and the Heidelberg Academy of Sciences and Humanities project entitled: “The Role Of Culture in Early Expansion of Humans (ROCEEH). We focus especially on the spatial data available in both systems as well as on the environmental information. Therefore, we examine and test exchange interfaces based on Spatial Data Infrastructure technology (OGC Standards) and metadata/schema mappings. The poster presents currently implemented interfaces of both data base systems in terms of their main commonalities and differences. Based on this overview, we discuss ways of direct links between the DB systems. Moreover, we identify procedures that need to be developed in the future to integrate and exchange data between both systems. We show that DB-linking activities based on the OGC standards yield valuable results and lead to a more efficient, sustainable management of these DB systems providing added values for the related research groups.
# 10
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.
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