a gis-based vegetation database of the austrian alps an application of jodi p eterseil j., m oser...
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A GIS-based A GIS-based Vegetation Vegetation
Database of the Database of the Austrian AlpsAustrian Alps
an application of JODIan application of JODIPPeterseil J., eterseil J., MMoser D., oser D., WWillner W. & illner W. &
GGrabherr G.rabherr G.
Institute of Ecology and Conservation BiologyInstitute of Ecology and Conservation BiologyUniversity ViennaUniversity Vienna
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
OrganisationOrganisation
Project leader Project leader Georg GrabherrGeorg Grabherr
Wolfgang Wolfgang WillnerWillner
Johannes Peterseil Johannes Peterseil Dietmar MoserDietmar Moser
Andreas Exner Andreas Exner
Christine JakominiChristine Jakomini Siegrun ErtlSiegrun Ertl
Financed by the Financed by the Austrian Academy of Austrian Academy of ScienceScience
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Project aimsProject aims
Development of the database Development of the database structurestructure
Input of relevés from the Austrian Input of relevés from the Austrian AlpsAlps
Linking of the relevés with GISLinking of the relevés with GIS
Exemplary analysisExemplary analysis
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
What are the main What are the main problems?problems?
Different sampling approachesDifferent sampling approaches Systematic errors Systematic errors Missing dataMissing data Different methods and scalesDifferent methods and scales Different accuracy of localisationDifferent accuracy of localisation Assigned vegetation typesAssigned vegetation types many others …many others …
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
How to deal with them?How to deal with them? Design a consistent and flexible database Design a consistent and flexible database
structurestructure Building of central definiton lists, e.g. Building of central definiton lists, e.g.
speciesspecies Design of tools for the selection, edit and Design of tools for the selection, edit and
aggregation of dataaggregation of data Design of interfaces to other commonly Design of interfaces to other commonly
used vegetation databases, e.g. used vegetation databases, e.g. TURBOVEG, VegBank or analysis TURBOVEG, VegBank or analysis programs, e.g. MEGATAB, VEGI, JUICE, programs, e.g. MEGATAB, VEGI, JUICE, SYNTAX, ...SYNTAX, ...
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
JODIJODI Microsoft Access database application Microsoft Access database application
splitted intosplitted into User InterfaceUser Interface Definition listsDefinition lists Link to Spatial DataLink to Spatial Data Data (project, literature, species, Data (project, literature, species,
environmental data)environmental data) FlexibilityFlexibility Original data are stored unchanged Original data are stored unchanged Translation done via Central Definition Translation done via Central Definition
ListsLists
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Data modelData model
LITERATURE
[publ_id]
Tables
[table_id]
RELEVÉ
[sample_id]
Header data
(sampling date, descriptions, …)
Site data
Environ.data, structure, …
Vegetation
Species and abundance
Classification
alliance, vegetation type
METHODSData fields, default
values
DEFINITION LIST
[value_id]
PROJECT
[proj_id]
Localisation
coordinates, maps (GIS)
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Date Elev Slope Aspect … Sample 1 1.6.1954 200 Slight SE Sample 2 1.7.1976 350 Steep E Sample 3 20.5.1986 alpine Steep E Sample 4 1.8.1999 500 5 NW …
Data modelData modelNormal structure
DATA FIELD VALUEUNIT
New! Data are structured as records
METHODMETHOD
PROJECTDEFINTION LIST
elevation alpineCLS
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
MethodsMethods
What are methods? What are methods? A summary ofA summary of DATA FIELD, e.g. slope DATA FIELD, e.g. slope UNIT, measured as °UNIT, measured as ° DEFINITION LIST, e.g. a list of free entriesDEFINITION LIST, e.g. a list of free entries Additional information, e.g. type of deviceAdditional information, e.g. type of device
What are they for?What are they for?Used for the generation of user defined input Used for the generation of user defined input
formsformsDocumentation of the used methodsDocumentation of the used methods
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Data modelData modelS1_SAMPLE_DATA
SA
MP
LE
_ID
LA
YE
R DATA FIELD
ROW TEXT
VALUE
SC
AL
E_I
D
Category, text or numerical value
CO
VE
R %
1
1
1
1
2
2
All
All
All
HL
All
All
Altitude
Slope
Aspect
Layercover
Altitude
Slope
Seehöhe in m
Neigung in °
Expostion
Schichtdeck.%
Altitude
Slope category
UN
IT
m
°
°
%
CLS
CLS
Free
Free
Free
Free
RA01
SL02
250 – 300 - 350
10 - 15
180
75
montanous
slightly
100
100
100
100
100
100
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Data ModelData Model
DA
TA
FIE
LD
SD
EF
INIT
ION
LIS
TS
RE
LE
VÉ
HE
AD
ER
Fixed table structure
Flexible data structure
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Definition ListsDefinition Lists
Problem: Different Lookup Tables for the data
Solution: Central Definition List
Data Definition List A
Definition List B
Central Definition List
Transformation doneOriginal values unchanged
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Definition ListsDefinition ListsProblem: Different thematic resolutions of the dataSolution: Hierarchical structured definition lists
CLASS
ORDER
ALLIANCE
ASSOCIATION
Example: Syntaxonomical Units
Assigment on different hierarchical levels possible
Aggregation of the data on a certain hierarchical level
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Definition ListsDefinition Lists• each category is assigned to a parent category
and a certain hierarchical level• with a special designed functions it is possible
to aggregate data on certain hierarchical levels, e.g. on the alliance level.
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Spatial DataSpatial Data• ArcView Shape Files
• Accuracy of localisation
• Coordinates
• Most propable location
• ArcView application for the communication to the vegetation database
• POLYGON_ID
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Data SelectionData Selection
Manage huge data amounts
All data fields within the database can be used for the selection
Selection can either done by data query or by spatial selection
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Data ExportData ExportInterfaces to :
vegetation databases, e.g. TURBOVEG, VegBank,
or analysis programs, e.g. MEGATAB, JUICE, SYNTAX, VEGI
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Data ExportData Export• Transformation and aggregation based on
the central definition list• Possibility of User defined aggregation of
the values of a DATA FIELD • Aggregation files can be saved and used
again
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Data ExportData Export• Transformation and aggregation based on
the central definition list• Possibility of User defined aggregation of
the values of a DATA FIELD • Aggregation files can be saved and used
again
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Structure of the Structure of the ApplicationApplication
JODI97 - User Interface
Entry, import, management, export, analysis, …
DATAProject, Literature
reference, Vegetation,
Environmental data, …
DEFINITION LISTSHierarchical structured defintion lists
SPATIAL DATALocation and accuracy of the samples
ArcView Microsoft Access Database
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
TimetableTimetable
2001 2002 2003 2004
•Development of database Development of database structure and the design of input structure and the design of input and export formsand export forms
•Building up the Central Defintion Building up the Central Defintion Lists Lists
•Building up the literature Building up the literature database database
•Development of a new Development of a new syntaxonomical checklist for syntaxonomical checklist for Austria to alliance levelAustria to alliance level
Data input and importData input and import
exemplary exemplary analysis and analysis and presentationpresentation
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
Design of the database structureDesign of the database structure Design and check of the input, Design and check of the input,
selection and edit toolsselection and edit tools Review of the existing literature for Review of the existing literature for
the Austrian Alpsthe Austrian Alps 16.374 relevés16.374 relevés 9.891 polygons 9.891 polygons ……
Status QuoStatus Quo
IAVS 2003 – Databases and Information Systems for Vegetation ScienceJODI
SummarySummary
Advantages of this Advantages of this design of the data modeldesign of the data model FlexibilityFlexibility Original values preservedOriginal values preserved Transformation of data is not nessecary at the Transformation of data is not nessecary at the
stage of the data entry – only the link between stage of the data entry – only the link between the lookup table and the the lookup table and the Central Defintion ListCentral Defintion List has to be defined has to be defined
Easy accessEasy access on all data for selection and export on all data for selection and export IntegrationIntegration of different data sources and of different data sources and
methodological approaches into one database methodological approaches into one database possiblepossible