Social–Spatial Analyses of Attitudes toward the Desert in a Southwestern U.S. City

2019 ◽  
Vol 109 (6) ◽  
pp. 1845-1864 ◽  
Author(s):  
Riley Andrade ◽  
Kelli L. Larson ◽  
David M. Hondula ◽  
Janet Franklin
Keyword(s):  
2015 ◽  
Vol 528 ◽  
pp. 161-172 ◽  
Author(s):  
CR Lagasse ◽  
A Knudby ◽  
J Curtis ◽  
JL Finney ◽  
SP Cox

2020 ◽  
Vol 25 (1) ◽  
pp. 111
Author(s):  
Juan Sebastián Moreno ◽  
Stephania Sandoval-Arango ◽  
Rubén Darío Palacio ◽  
Nestor Fabio Alzate ◽  
Milton Rincón ◽  
...  

Crop Science ◽  
2004 ◽  
Vol 44 (1) ◽  
pp. 49 ◽  
Author(s):  
Rong-Cai Yang ◽  
Terrance Z. Ye ◽  
Stanford F. Blade ◽  
Manjula Bandara

Land ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 6
Author(s):  
Krystyna Kurowksa ◽  
Renata Marks-Bielska ◽  
Stanisław Bielski ◽  
Audrius Aleknavičius ◽  
Cezary Kowalczyk

Sustainable development is socioeconomic growth that integrates political, economic, and social measures alongside environmental protection to meet the needs of communities and citizens without compromising the ability of future generations to meet their needs. The sustainable development concept was initially based on three main pillars: environment, economy, and society. In successive years, this concept has been expanded to include new pillars. The awareness of these changes has influenced our research interests. The main research objective of this study was to evaluate the applicability of geographic information system (GIS) tools (data, tools, and multidimensional analyses) to the implementation of sustainable development principles in rural areas. The study covered rural and nonurbanized areas in Poland, especially farmland, forests, fisheries, and farms. The study presents the results of our research into environmental, economic, and social determinants of growth in the spatial dimension. GIS tools continue to evolve, which improves access to information and increases database managers’ awareness that highly accurate data are needed for spatial analyses. GIS systems allow us to formulate, in a structured and formal way, models that reflect both the current state and forecast changes that will occur in space. It is a very useful tool in the sustainable development of rural areas.


2021 ◽  
Author(s):  
Barbara Namysłowska-Wilczyńska

<p>This geostatistical study investigates the variation in the basic geological parameters of the lithologically varied deposit in mining block R-1 in the west (W) part of the Rudna Mine (the region Lubin – Sieroszowice, SW part of Poland).</p><p>Data obtained from the sampling (sample size N = 708) of excavations in block R-1 were the input for the spatial analyses. The data are the results of chemical analyses of the Cu content in the (recoverable) deposit series, carried out on channel samples and drilled core samples, taken systematically at every 15-20 m in the headings.</p><p>The deposit profile comprises various rock formations, such as: mineralized Weissliegend sandstones, intensively mineralized upper Permian dolomitic-loamy and loamy copper-bearing schists and carbonate rocks: loamy dolomite, striped dolomite and limy dolomite, of various thickness. No schists formed in some parts of block R-1, which are referred to as the schistless area. The deposit series here is considerably less mineralized (comparing with other mining blocks) even though the mineralization thickness of the sandstone and carbonate rocks reaches as much as 20 m.</p><p>The variation in the Cu content and thickness of the recoverable deposit and the estimated averages Z* of the above parameters were modelled using the variogram function and the ordinary (block) kriging technique. The efficiency of the estimations was characterized.</p><p>As part of the further spatial analyses the Z<sub>s</sub> values of the analysed deposit parameters were simulated using the conditional turning bands simulation. Confidence intervals for the values of averages based on the estimated averages Z* and averages <strong> </strong>based on the simulated values (realizations) Z<sub>s</sub>, showing the uncertainty of the estimations and simulations, were calculated.</p><p>The results of the analyses clearly indicate the shifting of the mineralized zone (the mineralizing solutions), sometimes into the sandstones while spreading throughout the floor of calcareous-dolomitic formations and sometimes into the carbonate rocks, partly entering the roof layers of sandstones. It can be concluded that the process of deposit formation and copper mineralization variation had a multiphase character and the lateral and vertical relocation of the valuable metal ores could play a significant role.</p><p>The combination of various geostatistical techniques - estimation and simulation - will allow for more effective management of natural resources of mineral resources, including copper ore deposits.</p>


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