Climate change is predicted to substantially alter forest growth. Optimally, forest owners should take these future changes into account when making rotation decisions today. However, the fundamental uncertainty surrounding climate change makes predicting these shifts hard. Hence, this paper...

There is a general agreement that (a) climate change is one of the most serious environmental problems, that (b) the analysis of climate change is confronted with a large degree of uncertainty and (c) that these uncertainties need to be taken into account to arrive at meaningful policy...

The analysis of climate change is confronted with large uncertainties that need to be taken into account to arrive at meaningful policy recommendations. The main contribution of economics to this interdisciplinary task is to provide formal frameworks and techniques for analyzing climate policy...

We compare prominent global energy scenarios of organisations and companies. We supplement the analysis with four own scenarios, which were derived from structured analytic techniques in combination with a numerical global energy and resource market model (Multimod). Our study provides three...

Climate change is predicted to substantially alter forest growth. Optimally, forest owners should take these future changes into account when making rotation decisions today. However, the fundamental uncertainty surrounding climate change makes predicting these shifts hard. Hence, this paper...

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...

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...

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,...

The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörður and the Skagafjörður. The comparative analysis of the following VIs...