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Data Processing

  • Karan Deo Singh
Chapter
Part of the Environmental Science and Engineering book series (ESE)

Abstract

The Chapter highlights the important role of data processing in various stages of a forest inventory. Ideally, data processing (implying quantitative thinking) should begin at the very inception of a forest inventory. Once the inventory problem has been properly structured and worked out, data processing provides support to formulation of inventory design including information on spatial variation pattern, costs and time information to facilitate formu¬lation of cost effective sampling designs using the historic job-files. After finalization of inventory design, attention shifts to writing of field manual. This involves work on classification, coding and recording of data. Crew leaders have to be properly trained in filling forms in the prescribed format and check-crew work. The experience shows that training of crew members in the elementary data processing is always advantageous in the long run. Specially, if data processing steps have been planned in advance, most of the tables and graphics can be printed for direct inclusion in the final report.

Keywords

Error Calculation Volume Function Forest Inventory Diameter Class Data Processing Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Recommended Further Reading

  1. FAO (1967) Some views on data processing problems in forest inventories by N. E. Nilsson in HQ. Meeting of Forest Inventory Experts of UNDP/SF ProjectsGoogle Scholar
  2. GOI (1975) Data processing report. Preinvestment Survey of Forests, East Godavari report, FSI, DehradunGoogle Scholar
  3. FAO (1973) A description of the data processing system used in the inventory of selected areas of the mixed dipterocarp forest in Sarawak. Malaysia. Working Paper No. 22. FO: DP/MAL/72/009Google Scholar
  4. FAO (1978) The role of electronic data processing in forest inventory presented by K. D. Singh at FAO/SIDA/GOI seminar on forest resources appraisal in forestry and land use planning, Delhi/DehradunGoogle Scholar
  5. FAO (1980) FIDAPS—a forest Inventory data processing system by K. D. Singh and J. P. Lanly, FAO RomeGoogle Scholar
  6. FAO (1988) PC-FIDAPS Application Guide, FO: MISC/88/11Google Scholar
  7. Freese F (1962) Elementary forest sampling. USDA Forest Service, WashingtonGoogle Scholar
  8. Matern B (1984) Four lectures on forest biometry. Swedish University of Agricultural Sciences, Umea Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Academy of Forest and Environmental SciencesNew DelhiIndia

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