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In this chapter:
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Field-Map Inventory Analyst provides user with easy handling and processing of the databases of field data. Data can be completed, preprocessed and processed in order to obtain final statistical results and output.
Field-Map Inventory Analyst covers following tasks:
- Calculation of secondary and derived variables
- Post-stratification
- Aggregation: aggregating data of specific data layers and storing results in a parent layer; e.g. summarizing deadwood logs within a plot, calculating mean log volume, etc.
- Classification: classifying of measurement data into classes; e.g. age to age classes, tree diameter into diameter classes, etc.
- Re-classification: re-grouping of classified data; e.g. tree species into species groups etc.
- SQL update: It is possible to use SQL commands to create and calculate derived variables. For example those complex tasks which exceeds the possibilities of classification, re-classification or aggregation.
- Statistical data processing
Main advantages of using Inventory Analyst:
- Easy and fast data preparation (data preprocessing)
- Calculated values are added into the source database
- Easy definition of statistical tasks (import/export of definitions of the statistical tasks)
- Automatic creating of printable outputs including charts
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