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The main purpose of this article is to present the use of R programming language in cartographic visualization demonstrating using machine learning methods in geographic education. Current trends in education technologies are largely influenced by the possibilities of distance-learning,...
Persistent link: https://www.econbiz.de/10013240790
Uganda is traversed by the East African Rift System (EARS), which controls its topography and induces high seismicity in the southwestern and western parts of the country, around the Rwenzori Mountains and Albertine Graben. This paper explores the complexity of the geophysical, topographic and...
Persistent link: https://www.econbiz.de/10013220545
This paper presents using GDAL utilities and GRASS GIS for topographic analysis of the raster grids based on GEBCO DEM as NetCDF file at 15 arc-second intervals. The focus study area encompasses the area around Okinawa Trough, Ryukyu trench-arc system, southern Japan, East China Sea and the...
Persistent link: https://www.econbiz.de/10013216236
Geologic and geophysical mapping has been so far limited to the traditional single-method GIS-based mapping. A new approach combining integrated analysis of data on geology, gravity, topography and geomorphology is presented for regional characterization of the geophysical setting in Mongolia:...
Persistent link: https://www.econbiz.de/10014088188
This paper presents a case of the script-based cartographic data processing by the Generic Mapping Tools (GMT) and R language for geophysical mapping. The study area is located in Rwanda, Africa, which is notable for complex geological setting due to its specific location within the East African...
Persistent link: https://www.econbiz.de/10014242124
The presented paper is focused on satellite image analysis using GRASS GIS. The aim is to perform comparative analysis of the land cover changes in Tokyo metropolitan area through spatial analysis. Data include multi-temporal Landsat TM satellite images on 2002, 2006 and 2011. The images were...
Persistent link: https://www.econbiz.de/10013237699
This paper analyzes two scripting approaches for topographic and geodetic visualization and geomorphological modeling of Bulgaria: R language and Generic Mapping Tools (GMT). The data include high-resolution raster grids: topographic datasets (GEBCO, SRTM), geoid model based on Earth...
Persistent link: https://www.econbiz.de/10014030949
EN:The study presents the 2D and 3D mapping of the Mesopotamia Foredeep Basin, Iraq, and the adjacent areas using integrated cartographic approach of multi-source data visualization by Generic Mapping Tools (GMT), R language and QGIS. The geomorphological and geological mapping is based on...
Persistent link: https://www.econbiz.de/10013305964
Cartographic visualization is a key means for the analysis of the Earth’s environmental processes. In view of the rapidly increasing multi-source data, cartographic approaches are updated accordingly. Mapping of countries characterized by complex geologic settings, such as Tanzania, requires...
Persistent link: https://www.econbiz.de/10013289220
Spanish Abstract: El artículo presenta el uso de técnicas cartográficas de scripting para la visualización de mapas topográficos y geomorfológicos por R y GMT. Los mapas temáticos pretenden analizar la región del Perú con un enfoque específico en su geomorfología: pendiente, aspecto,...
Persistent link: https://www.econbiz.de/10013323052