Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW)

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Miranda Mason
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1 Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW) The following instructions will illustrate how to extract inventory history information from the Land & Resource data Warehouse (LRDW). The LRDW is a spatial data repository stored in an Oracle database and accessed through ESRI s SDE spatial data management and processing system. Overview Veg_Comp_Poly (Vegetation composite polygon spatial) To link veg_comp_poly (spatial) and veg_comp_layer (data set), use the feature_id attributes. Feature_id is a unique number to every record. The Veg_comp_poly composite table, it will contain attributes found in the following tables: polygon table land cover component table non tree table non vegetated table label table results linkage (refer below for more information) history linkage (refer below for more information) district code (attribute) History Linkage To view history information, join the resource_inventory_history table using the attribute vif_history_id to the veg_comp_poly vif_ver_history_id attribute field. History_ids are provided for the first three history events, simplifying the complex history join that has frustrated users. There are 3 history vif_ver_history_id s which represents the first three previous history events that happened to the polygon. vif_ver_history_id1 is the first history event found, vif_ver_history_id2 is the second, and vif_ver_history_id3 is the third. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 1

Step by Step Summary for Extracting History Information A. Create a Personal Geodatabase B. Add provincial Data Features C. Select specific TSA boundary by attribute D.

2 Step by Step Summary for Extracting History Information A. Create a Personal Geodatabase B. Add provincial Data Features C. Select specific TSA boundary by attribute D. Select Vegetation Composite Polygon within TSA (Select by Location) E. Export data to personal geodatabase F. Join rank 1 polygon attributes G. Join Resource Inventory History attributes H. Clip the Vegetation polygon to the TSA boundary The following information was partly derived from Bill Chalk s web tutorial. However changes were made to simplify and were written towards extracting history information. A. Create a Personal Geodatabase Before you can translate or export data into personal geodatabase format, you need to create the database container (.mdb) file 1. Run ArcCatalog 2. Navigate to the location on the data server (w: drive) where you plan to store your personal geodatabase, right-click on the folder name, and choose New Personal Geodatabase. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 2

3 3. Rename the default New Personal Geodatabase.mdb to something more meaningful. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 3

B. Add provincial data features 1. Run ArcMap 2. Select the A new empty map options button, and click the OK button. 3. To add data, click on the list of tables or views.

To add multiple features at one time, hold down the ctrl key with one hand, and with the other scroll across the list of feature dataset.

4 B. Add provincial data features 1. Run ArcMap 2. Select the A new empty map options button, and click the OK button. 3. To add data, click on the list of tables or views. For this example, select the provincial TSA boundary (whse_admin_boundaries.fadm_tsa). 4. To add multiple features at one time, hold down the ctrl key with one hand, and with the other scroll across the list of feature dataset.classes and select the following for this exercise: whse_forest_vegetation.veg_comp_poly (spatial of vegetation composite polygons); whse_forest_vegetation.veg_comp_poly_lyr_r1.vw (Rank 1 layer attribute table); and whse_forest_vegetation.resources_inventory_history (inventory history information) Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 4

5 5. If the map features don t automatically draw in the display window (on the right side of the screen), you can load it manually by check-marking the check box to the left of the feature layer name. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 5

C. Select specific TSA boundary by attribute 1. Click Selection on the tool bar and Select by Attributes 2. On the Select by Attribute form, make sure that whse_admin_boundaries.

Notice that the field name gets added to the large text box at the bottom of the form, then click on the = (equal sign) operator. 3.

6 C. Select specific TSA boundary by attribute 1. Click Selection on the tool bar and Select by Attributes 2. On the Select by Attribute form, make sure that whse_admin_boundaries.fadm_tsa is the selected layer, and double click TSA_Number in the Fields listbox. Notice that the field name gets added to the large text box at the bottom of the form, then click on the = (equal sign) operator. 3. Double-click on the desired value (in this example 15 is the code for Lillooet TSA). You have just built the expression portion of a SQL statement by choosing a database field (org_unit_no), an operator (=) and a value (15). When ready, click the Apply button. 4. If you want to select more than 1 value (in this example, select 2 tsa area), after the first expression, click on And and enter your second expression as stated in #3 (for example, Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 6

Notice that a new layer gets added to the Table of Contents using the original feature layer name with the word selection appended to it, to differentiate it from original

7 select 15 for Lillooet TSA and 20 for Morice TSA, the expression would be the following: TSA_number=15 and TSA number=20). 5. Convert the selected features into a map layer by right-clicking the feature layer name and choosing Selection Create Layer from Selected Features. Notice that a new layer gets added to the Table of Contents using the original feature layer name with the word selection appended to it, to differentiate it from original feature layer. 6. Detach the original provincial FADM_TSA layer from your Table of Contents by right-clicking on the feature layer name and choosing Remove. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 7

D. Select Vegetation Composite Polygon within TSA (Select by Location) 1. Begin the process of selecting vegetation cover polygons (veg_comp_poly) that intersect the TSA (i.e. Lillooet) by Clicking Selection Select by Location 2.

Wait while all the features are selected and the processing hour glass changes back to the pointer. 3.

8 D. Select Vegetation Composite Polygon within TSA (Select by Location) 1. Begin the process of selecting vegetation cover polygons (veg_comp_poly) that intersect the TSA (i.e. Lillooet) by Clicking Selection Select by Location 2. On the Select by Location form, check-mark only the.veg_comp_poly layer, and choose the. FDAM_TSA selection layer to intersect with it, then click the Apply button. Wait while all the features are selected and the processing hour glass changes back to the pointer. 3. Create a new layer from only the selected features, by right-clicking the feature layer name and choosing Selection Create Layer from Selected Features. Notice that a new layer Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 8

gets added to the Table of Contents using the original feature layer name with the word selection appended to it, to differentiate it from the original feature layer. 4.

Save your work (as a new map document (.mxd). The file can be saved on the slkgis2 network drive.

9 gets added to the Table of Contents using the original feature layer name with the word selection appended to it, to differentiate it from the original feature layer. 4. Detach the original Veg_Comp_Poly layer from your Table of Contents by right-clicking on the feature layer name and choosing Remove. 5. Save your work (as a new map document (.mxd). The file can be saved on the slkgis2 network drive. Go to the appropriate ministry, geographic location, and branch subdirectory (example: /srm/vic/tib/workarea/. This represents MSRM in Victoria, Terrestrial Information Branch, in the workarea subdirectory.) Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 9

10 Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 10

E. Export data to personal geo database 1. to create a stand alone data file in personal geo database format from a map layer, right-click on the feature layer name and choose Data Export Data 2.

11 E. Export data to personal geo database 1. to create a stand alone data file in personal geo database format from a map layer, right-click on the feature layer name and choose Data Export Data 2. On the export Data form, click the folder button to the right of the Output shapefile or feature class text box. The Saving Data dialog form will appear. 3. On the Saving Data form, click the arrow button on the Save As Type combo-box and choose Personal Geo database features classes. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 11

4. Navigate to an existing Access database (which you created earlier in section A Creating a Personal Geodatabase - for this example, we had

Replace the default name Export_Output with a more meaningful name (for this example we have replace the default name with

Once the export process has finished, click Yes to add the new layer to your Table of Contents.

12 4. Navigate to an existing Access database (which you created earlier in section A Creating a Personal Geodatabase - for this example, we had created a personal geodatabase called tas15_lillooet_tsa). 5. Double-click on the file name (i.e. personal geodatabase, example tsa15_lillooet_tsa), so that it appears in the Look in textbox. Replace the default name Export_Output with a more meaningful name (for this example we have replace the default name with lillooet_tsa_boundary) and click the Save button. 6. On the Export Data button form, click on the OK button. Once the export process has finished, click Yes to add the new layer to your Table of Contents. Notice that a new data source containing the new feature layer gets added to your Table of Contents. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 12

13 7. Repeat steps 1 to 5 to export the LRDW layer Whse_forest_vegetation.veg_comp_poly to a personal geo database format. Name the exported coverage Lillooet_veg_comp. Notice that your personal geodatabase now contains 2 feature classes. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 13

14 F. Join rank 1 polygon attributes 1. To create a join between the LRDW Lillooet TSA vegetation composite polygon and the LRDW vegetation attributes (rank 1 layer), right-click on the feature layer name whse_forest_vegetation.veg_comp_poly selection, and choose Joins and Relates Join 2. In the Join Data form, select the feature layer whse_forest_vegetation.veg_comp_lyr_r1 from the choose the table to join to this layer combo-box. Note: veg_comp_lyr_r1 is an Oracle view of some vegetation attribute records based on a ranking of importance of the forest layers. R1 means that the database record for the layer where Rank = 1 is included in the database view: any other records where Rank <> (not equal to) 1 are not included in this database view. This creates a view with a one-to-one relationship between a vegetation polygon and a single forest layer attribute record (excluding any additional layer records when they exist for multilayered forest stands). Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 14

3. In the Choose the field in this layer that the

15 3. In the Choose the field in this layer that the join will be based on: combo-box, select Featureid 4. In the Choose the field in the table to base the join on: combo-box, select Feature_id, then select the OK button. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 15

Click the Options button and choose Export 7.

16 5. Right-click on the feature layer name whse_forest_vegetation.veg_comp_poly selection, and choose Open Attribute Table. 6. Click the Options button and choose Export 7. On the Export Data form, click the folder button to the right of the Output table text box. A Save data dialog form appears. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 16

17 8. On the Saving Data form, click the arrow button on the Save As Type combo-box and choose Personal Geo database features classes. Navigate to an existing Access database (which you created earlier in section A Creating a Personal Geodatabase - for this example, we had created a personal geodatabase called tas15_lillooet_tsa). Double-click on the file name (i.e. personal geodatabase, example tsa15_lillooet_tsa), so that it appears in the Look in textbox.. 9. Navigate to an existing Access database, replace the default name Export_Output with a more meaningful name (for this example we have replace the default name with lillooet_atts_rank1), and click the Save button. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 17

18 10. On the Export Data form, click the OK button. Once the export process has finished, click Yes to add the new layer to your table of Contents. Notice that a new feature table gets added to your Table of Contents. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 18

19 G. Join Resource Inventory History attributes 1. Repeat the above steps for resource inventory history attributes 2. To create a join between the LRDW Lillooet TSA vegetation composite polygon and the LRDW resource inventory history, right-click on the feature layer name whse_forest_vegetation.veg_comp_poly selection, and choose Joins and Relates Join 3. In the Join Data form, select the feature layer whse_forest_vegetation.resource_inventory_historyfrom the choose the table to join to this layer.. combo-box. Fill in the following join options: Choose the field in this layer that the join will be based on: VIF_VER_HIST_ID_1 Choose the table to join this layer, or load the table from disk: whse_forest_vegetation.resource_inventory_history Choose the field in the table to base the join on: VIF_VER_HIST_ID Click on okay Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 19

4. Right-click on the feature layer name whse_forest_vegetation.veg_comp_poly selection, and choose Open Attribute Table. 5. Click the Options button and choose Export 6.

20 4. Right-click on the feature layer name whse_forest_vegetation.veg_comp_poly selection, and choose Open Attribute Table. 5. Click the Options button and choose Export 6. On the Export Data form, click the folder button to the right of the Output table text box 7. On the Saving Data form, click the arrow button on the Save As Type combo-box and choose Personal geodatabase tables. 8. Navigate to an existing Access database, replace the default name Export_Output with a more meaningful name, and click the Save button 9. On the Export Data form, click the OK button. Once the export process has finished, click Yes to add the new layer to your table of Contents. Notice that a new feature table gets added to your Table of Contents Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 20

Click and hold on the Lillooet_veg_comp feature layer name and drag it down so that it is below the

21 10. Right-click on the LRDW data source in the Table of Contents and choose Remove 11. Switch the Table of Contents from Source to Display view by clicking the tab at the bottom of the pane. Click and hold on the Lillooet_veg_comp feature layer name and drag it down so that it is below the Lillooet_tsa_boundary feature layer name, then release the mouse button Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 21

12. The Table of Contents lists feature layers in a hierarchy: those layers higher up in the TOC list get displayed on top of the layers below them in the list. 13.

22 12. The Table of Contents lists feature layers in a hierarchy: those layers higher up in the TOC list get displayed on top of the layers below them in the list. 13. Notice that the Lillooet_TSA_boundary layer now masks out that portion of the Lillooet_veg_comp layer that is directly below it. 14. The reason that some polygons in the Lillooet_veg_comp layer extend beyond the Lillooet_tsa_boundary boundary is that we did a Select by Location intersect between the two LRDW layers, which includes all polygons that are all or partially intersecting between both layers. 15. Because the LRDW is made up of seamless layers, the vegetation polygons do not necessarily stop at TSA boundaries (a large alpine polygon that is continuous on both sides of a height of land may extend beyond a tsa boundary). The next step is to clip the vegetation polygons to the tsa boundary. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 22

Click on the Clip one layer based on another option button, and

23 H, Clip the Vegetation polygon to the TSA boundary 1. Click on Tools GeoProcessing Wizard 2. Click on the Clip one layer based on another option button, and click the Next> button Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 23

24 3. Enter the following 1. Select the input layer to clip combo-box: Lillooet_veg_comp 2. Select a polygon clip layer: Lillooet_tsa_boundary 3. Click on Specify the output shapefile or feature class folder button: 4. Navigate to an existing Access database, replace the default name Export_Output with a more meaningful name, and click the save button. 5. Once you return to the Geoprocessing Wizard form, click the Finish button. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 24

Try and arrange to do this as an afterhours process. 7.

25 6. Once completed, add the newly clipped layer to your map. Clipping a geographically large and complex layer can take a long time to complete. Try and arrange to do this as an afterhours process. 7. Right click on the feature layer named lillooet_veg_clipped, and choose Joins and Relates Join Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 25

26 8. In the Join Data form, select the feature layer Lillooet_veg_atts_r1 from the Choose the table to join to this layer combo-box In the Choose the field in this layer that the join will be based on combo-box, select Feature _id. In the Choose the field in the table to base the join on combo-box, select Feature_id, then select the OK button. Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 26

27 9. Once you complete the join and return to your map, reight-click on the feature layer name and select Open Attribute Table. Scroll across the columns and take note f the column names. Each has two parts: the feature layer or attribute table name, and the original column name. A period (. ) character is used as a column names, the new column names become unique, even if there were duplicate names in the original feature layer and attribute table. 10. To join the history records, repeat the above (starting from 7). Extracting Inventory History Information from the Land & Resource Data Warehouse (LRDW 27

Extracting RESULTs Information from the Land & Resource Data Warehouse (LRDW)

Extracting RESULTs Information from the Land & Resource Data Warehouse (LRDW) The following instructions will illustrate how to extract inventory Results information from the Land & Resource data Warehouse