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Application of Spatial Data Mining to national mines inventories for exploration and land planning of high place-value mineral resources. The case of aggregates in Spain by F.J. López-Acevedo; J.I. Escavy; M.J. Herrero is a Economics, Econometrics and Finance article available to read on EtoBox.

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Countries' mine inventories usually include information related to exploited rock type or mineral, amount of resources, owner, location, mining rights associated, etc. All this information is a vast dataset that in the last couple of decades has been included in digital cartography in official websites, some of them freely available. This information is usually exploited as individual registers classified by substance, location, etc., but when analyzed as a whole and combined with other economic, social, and environmental variables, valuable information can be obtained. If the variable time is included in the study, these databases can reveal the evolution of mining activity in recent decades. This study analyzes the distribution of aggregates quarries in Spain, as a case study, relating their location to different socio-geographical features such as urban areas, environmentally protected areas, or population density, by means of Spatial Data Mining (SDM) tools. Aggregates are used as construction materials and are the largest non-energy extractive industry, being the second most consumed product by human beings after water. Due to the low unit value and high volume of consumption,

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Author

F.J. López-Acevedo; J.I. Escavy; M.J. Herrero

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Economics, Econometrics and Finance (Social Sciences)