Custom Observation Query
iMapInvasives allows any user with Level 1 or higher access to query the database and view a subset of observation records. As user level increases, additional query and view options are available. Users can choose between different query types (Full Data Query, Common Invasive Species, Early Detection, or Approaching Region), with the default query type set as Full Data Query.
Users can select the query criteria, and can choose how to view the results.
Query Fields by User Level
The fields displayed on the Full Data Query tab will change depending on your user level. Most of these fields are represented by drop-down menus or pick lists on the query form, allowing the user to build the query from predetermined values. A few fields allow you to pick multiple values (e.g., you can select more than one species from the drop down list).
By choosing different values from the drop-downs, you can craft very specific queries to view or display a subset of the iMap observation dataset. Some examples of queries that can be performed are listed below:
Example 1: all plant, animal, and insect observations in a certain county for a certain year
Example 2: all observations made by your organization
Example 3: all Garlic Mustard records that have been confirmed by an iMap administrator, within a specific watershed
The following chart summarizes what fields can be queried at which user level.
Types of Results
After setting your query parameters using the drop-downs and pick lists in the Criteria section, click one of the Results buttons.
View Table will produce a table of the observations that match your search; you can then click on a record in the table to view the full observation record.
View Report will produce a summary report of the matching observations (the report lists observations per species and the organizations reporting these observations).
View on Map will take you to the map screen and show the matching observations on the map. You can then click on the clusters or points on the map to pull up the observation ID and species name for those observations, which will then link to the full observation record.