1. Overview of Long-Term Field Experiments (LTFE) in Germany – Metadata Visualization
M. Zoarder, N. Svoboda, M. Grosse, W.Hierold, U. Heinrich
Leibniz Centre for Agricultural Landscape Research, Muencheberg
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Contact:
Background
In the frame of the BonaRes project, we are compiling an overview of long-term field experiments (LTFE) in Germany that is based on a literature review, the results of an online survey and direct contacts with LTFE operators. Diverse information (meta-information) regarding the LTFE’s have been collected:
information about research topic,
contact person,
website,
experimental setup and
analyzed parameters
Based on the collected LTFE data, an enterprise geodatabase is developed and a GIS-based web-information system about LTFE in Germany is also settled. The application provides both, spatial location and meta-information (for details on meta-information see the poster of Grosse & Hierold (2017): Long-term Field Experiments as Important Source of Knowledge-Goals of the BonaRes-Centre) of LTFEs.
Functionalities
Dispersing Points
There are many LTFE locations which have similar coordinates. To visualize all those points together in overview map was a challenging task but not using available clustering point methods.
Example of JS API
for Clustering
Developed Method
Algorithm inside database is dispersing the similar coordinate points in each zoom level and each points has it‘s own metadata.
Fig 7: Dispersing points metadata view
Source: (
Fig 5: Example of existing dispersing method
Source:
sandbox/sandbox.html?sample=layers_point_
clustering
Fig 6: Developed dispersing point method
Easy Data Search
Search a LTFE point using DFV-Name/Location/Institution name
Fig 2: Data searching in overview map
Source: (
Dynamic Layer and Sub-Layer Selection
Selection of a main layer opens the other corresponding sub-layers
Disselection of different sub-layers is also possible
Fig 3: Layer selection
Source: (
Map Service
Research and Literature Review LTFE Data
LTFE Toolbox
SQL Server GDB
ArcGIS Server
Algorithm for Dispersing Points
Data Visualization Workflow
Fig 1: Data visualization methodology
Source: (
Zoom to Selection
Zoom to selection will zoom to selected point and open the metadata-popup window.
Fig 4: Zoom to selected point and viewing metadata
Source: (
Outlook
The LTFE database is getting updated and also the web application is filled with new information and new locations. As the whole process has been automatized, so it is not too complicated to include new data. According to data visualization workflow we only update excel data and run the LTFE toolbox inside sql server enterprise geodatabase which creates new points as well as update regarding information's and visualize in the web map application.
(Information about LTFE’s is welcome, please send it to
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