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Analysis on spatial distribution characteristics and geographical factors of Chinese National Geoparks

  • Fang Wang EMAIL logo , Xiaolei Zhang , Zhaoping Yang , Fuming Luan , Heigang Xiong , Zhaoguo Wang and Hui Shi
Published/Copyright: August 6, 2014
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Open Geosciences
From the journal Open Geosciences Volume 6 Issue 3

Published Online: 2014-8-6
Published in Print: 2014-9-1

© 2014 Versita Warsaw

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  1. Dispersion modeling of air pollutants in the atmosphere: a review
  2. Analysis on spatial distribution characteristics and geographical factors of Chinese National Geoparks
  3. The climate of Carpathian Region in the 20th century based on the original and modified Holdridge life zone system
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  6. Statistical analysis of soil moisture content changes in Central Europe using GLDAS database over three past decades
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https://doi.org/10.2478/s13533-012-0184-x
Keywords for this article
spatial distribution; National Geoparks; influencing factors
Creative Commons
BY-NC-ND 3.0

Articles in the same Issue

  1. Dispersion modeling of air pollutants in the atmosphere: a review
  2. Analysis on spatial distribution characteristics and geographical factors of Chinese National Geoparks
  3. The climate of Carpathian Region in the 20th century based on the original and modified Holdridge life zone system
  4. Architecture of Upper Cretaceous rhyodacitic hyaloclastite at the polymetallic Madneuli deposit, Lesser Caucasus, Georgia
  5. The spatial distribution pattern of heavy metal concentrations in urban soils — a study of anthropogenic effects in Berehove, Ukraine
  6. Statistical analysis of soil moisture content changes in Central Europe using GLDAS database over three past decades
  7. Current trends in formats and coordinate transformations of geospatial data — based on MyGeoData Converter
  8. Assessment of surface runoff depth changes in Sǎrǎţel River basin, Romania using GIS techniques
  9. A case study for the integration of predictive mineral potential maps
  10. Electrofacies in gas shale from well log data via cluster analysis: A case study of the Perth Basin, Western Australia
  11. Prediction of earthquake hazard by hidden Markov model (around Bilecik, NW Turkey)
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