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FIA Forest Inventory Analysis Plots in forests over the US

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Presentation on theme: "FIA Forest Inventory Analysis Plots in forests over the US"— Presentation transcript:

1 FIA Forest Inventory Analysis Plots in forests over the US
Coordinates “fuzzed” at 1km Tree species and characteristics Resampled every decade FIA database: Downloadable by state CSV files or MS-Access “CN” for primary keys Includes complete database dictionary!

2 Maps for Reports Example report map from Paul Sereno’s Cluster lab

3 MS-Access Part of MS-Office professional Relational database
No concurrent access No spatial extensions Has some unique characteristics Brackets on field names: [Field1] “Easy to Use” wizards for queries Can get to SQL statements behind the wizards

4 Query Wizards

5 Select Tables and Fields

6 Missing Relationships

7 FIA Relationships

8

9 Query Options

10 Add Tables

11 Add Tables (con’t)

12

13 Adding Joins Drag to Join Tables

14 SQL View SELECT PLOT.[CN] FROM
(PLOT INNER JOIN TREE ON PLOT.CN = TREE.PLT_CN) INNER JOIN REF_SPECIES ON TREE.SPCD = REF_SPECIES.SPCD;

15 Add Field to Select

16 Select the field

17 Final Query – Wizard View

18 Datasheet View

19 SQL View

20 Sorting

21 Filtering

22 MS-Access Access uses “*” for a string wildcard
Fieldnames are in brackets (sometimes) First “INNER JOIN” must be in parenthesis

23 Final Query SELECT PLOT.[CN], PLOT.LAT, PLOT.LON, REF_SPECIES.COMMON_NAME, TREE.HT FROM (PLOT INNER JOIN TREE ON PLOT.CN = TREE.PLT_CN) INNER JOIN REF_SPECIES ON TREE.SPCD = REF_SPECIES.SPCD WHERE (((REF_SPECIES.COMMON_NAME) Like 'Doug*') AND ((TREE.HT)>200)) ORDER BY TREE.HT DESC;

24 Export Data


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