76,99 €
Space and Time in Geomorphology
Space and Time in Geomorphology
  • Išparduota
Space and Time in Geomorphology
Space and Time in Geomorphology
El. knyga:
76,99 €
This book, first published in 1982, is a collection of articles aimed at advancing the field of geomorphology. It starts from the position that a meaningful grasp of landscape evolution would depend upon an understanding of the present spatial distribution of processes and process rates; comparison of spatial versus temporal change; and careful appraisal of the character and composition of the stratigraphic record. Each article uses a data set to address between threshold variability in either…
  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 398
  • ISBN: 9781000046571
  • ISBN-10: 1000046575
  • ISBN-13: 9781000046571
  • Formatas: ACSM ?
  • Kalba: Anglų

Space and Time in Geomorphology (el. knyga) (skaityta knyga) | knygos.lt

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This book, first published in 1982, is a collection of articles aimed at advancing the field of geomorphology. It starts from the position that a meaningful grasp of landscape evolution would depend upon an understanding of the present spatial distribution of processes and process rates; comparison of spatial versus temporal change; and careful appraisal of the character and composition of the stratigraphic record. Each article uses a data set to address between threshold variability in either a spatial or temporal context, and often both.

76,99 €
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  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 398
  • ISBN: 9781000046571
  • ISBN-10: 1000046575
  • ISBN-13: 9781000046571
  • Formatas: ACSM ?
  • Kalba: Anglų

This book, first published in 1982, is a collection of articles aimed at advancing the field of geomorphology. It starts from the position that a meaningful grasp of landscape evolution would depend upon an understanding of the present spatial distribution of processes and process rates; comparison of spatial versus temporal change; and careful appraisal of the character and composition of the stratigraphic record. Each article uses a data set to address between threshold variability in either a spatial or temporal context, and often both.

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