en en en en en en en en en en en en en en en en en it en en en es ru en fr ru en fr ru en es ru en es en en en en en en en sv en en es en en en en en en en es en en en zh en en en en en en en en en en en en en en en en en en en en en en en en en en en mt en en en en nl de sv fr en en en en
About the Journal In Memory of Professor Jerzy Radecki Editorial Office Editorial Board Scope Impact Factor Indexed in... Journal Impact Factor contributing items Contact Subscription Current issue Online first Notes to Authors Frequently Asked Questions Submission Archive
Environmental Differences between Two Neighboring Regions of Southern Spain
María Dolores Huete-Morales 1
Department of Statistics and Operational Research, Faculty of Labour Sciences, University of Granada, C/Rector López Argüeta, s/n. Granada, Spain
Department of Statistic and Operational Research, Faculty of Sciences, University of Granada, Campus de Fuente Nueva, s/n. Granada, Spain
Department of Statistic and Operational Research, Rector López Argüeta, s/n, Facultad de Ciencias del Trabajo, 18071 Granada, Spain
Final revision date: 2017-10-05
Online publication date: 2018-04-13
Pol. J. Environ. Stud. 2018;27(5):2071–2080
Geographical Information System (GIS)
The aim of this paper is to identify the main factors that determine territorial differences between two large neighbouring provinces (Granada and Almería) that each occupy both sides of the Sierra Nevada mountain range in southern Spain. Our analysis produced a prediction model for riverside woodland cover, one of the variables that most strongly characterizes the differences between the two provinces. A general linear model was constructed for spatial analysis (spherical model with REML estimation), taking into account the location of the municipalities (longitude, latitude, and elevation) and other factors related to soil type, vegetation, or woodland cover. Interpolation of spatial data was performed by ordinary kriging. The predictions obtained over a grid of locations enabled patterns in each region to be derived and visualised, with very clear results. The pattern of riverside woodland cover is highly differentiated between the two provinces, despite their presenting adjoining areas.
Comparison of Different Geostatistical Methods for Soil Mapping Using Remote Sensing and Environmental Variables in Poshtkouh Rangelands, Iran
Changes in Meteorological Conditions in a Polish City, 1848–2009
Using the Non-Parametric Classifier CART to Model Lebanon Cedar (Cedrus libani A. Rich) Distribution in a Mountain Mediterranean Forest District
Seasonal and Multiannual Changes of Water Levels in Lakes of Northeastern Poland
How Climate Change Impacts Energy Load Demand for Commercial and Residential Buildings in a Large City in Northern China
© 2006-2022 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.