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Multivariate mapping is a technique in which multivariate data are encoded into a single map. A variety of design solutions for multivariate mapping refers to the number of phenomena mapped, the map type, and the visual variables applied. Unlike other authors who have mainly evaluated bivariate maps, in our empirical study we compared three solutions when mapping four variables: two types of multivariate...
An attempt has been made in this paper to analyse the spatio-temporal variations of cropping intensity and irrigation intensity, and their relationship, in North Twenty Four Parganas district in West Bengal, India from 1996/97 to 2015/16. The relationship between cropping intensity and irrigation intensity has been assessed using partial correlation, residual mapping and hierarchical cluster analysis...
This paper studies the ex-post trade efects of China's multilateral, regional and bilateral trade liberalization using augmented gravity and panel data estimation methods for the period 1995-2016. China's accession to the WTO was revealed to have had a significant impact on the volume of trade as well as on bilateral exports and imports. Regional trade agreements and the majority of bilateral trade...
Illegal extraction of gold has grown to be a problem in many countries, causing the degradation of the environment. The main purpose of this paper is to investigate changes in tree cover and surface pollution. The development of a mine site has been observed and analysed with images acquired from Landsat and the Sentinel missions. The results of the study showed changes in the state of the environment,...
This research focuses on the 2D and 3D geospatial analysis of the Ryukyu Trench, a deep-sea trench located in the western Pacific Ocean between Japan and Taiwan. The aim of the research is to visualize regional diferences in the topography of the southern (S) and northern (N) parts of the trench. Technically, the methodology is based on using the Generic Mapping Tools (GMT) scripting toolset, for...
The increase in demand for food and the need to predict the impact of a warming climate on vegetation makes it critical that the best tools for assessing crop production are found. Chlorophyll fluorescence (ChlF) has been proposed as a direct indicator of photosynthesis and plant condition. The aim of this paper is to study the feasibility of estimating ChlF from spectral vegetation indices derived...
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