Field-Map Inventory Analyst |
Field-Map Inventory Analyst provides user with easy handling and processing of the databases of field data. Data can be completed, pre-processed and processed in order to obtain final statistical results and output. Field-Map Inventory Analyst covers following tasks:
|
|
|
How Field-Map Inventory Analyst works Step by step |
|
|
Step 1. Run Field-Map Inventory Analyst and open a project. Each Field-Map project represents set of inventory plot covering investigated territory (e.g.at the level of NFI one project contains data of whole country); data do not need to be converted from the field database. |
|
|
Step 2. Connect project layers and attributes of a particular project need to be "connected" to Field-Map Inventory Analyst, i.e. user must indicate, which layer is tree layer, deadwood layer etc. This is because user is free to develop Field-Map project according to specific methodology. In case of inventory, which is covering whole territory (i.e. both forest and nonforest land) it s necessary to indicate, which attribute contains information on the landuse for particular plot or plot segment. |
|
|
Step 3. Calculate secondary variables Using built-in tools it is possible to calculate tree heights for those trees, which were not measured in the field, to calculate tree volume/biomass using local alometric models, to calculate representative area of trees etc. |
|
|
Step 4. Post stratification Grid of inventory plots can be over imposed on any polygonal map and information is taken from polygons and attached to inventory plots. |
|
|
Step 5. Aggregation Any aggregation task within the hierarchy of the database structure can be performed using this tool, e.g. calculation of total volume per inventory plot; several different statistics calculated for the entities within an inventory plots: total, mean, median etc. Results of aggregation are automatically stored into Field-Map database. Once the task is defined, it can be repeatedly used and even shared between projects; same principle is applicable for tasks of c1assification, re-c1assification, SQL update and statistical processing |
|
|
Step 7. Classification & Re-classification Any continuous variable can be classified into distinct classes using user-defined classification scheme. Results of classification are automatically stored into Field-Map database. Classified variables can be re-classify in order to follow different classification scheme, e.g. species can be grouped into species groups. |
|
|
Step 8. SQL update SQL commands and queries can be used to create and calculated derived variables. More complex tasks which exceed possibilities of simple classification, re-classification and aggregation can be performed. |
|
|
Step 9. Statistical data processing The tasks of statistical data processing can be formulated using interactive form. Evaluated variable, stratifier, classifiers and type of output statistics represent main parameters of a task. Many different tasks can be formulated and repeatedly used. Field-Map Inventory Analyst is based on adaptive procedure of statistical data processing which starts with testing of empirical distribution and than selects suitable model. Outputs of calculation are presented in form of tables and charts |
|
|
|
| If you would like more information or prices please contact us. | |