Cerba ppt gi2011-harmonization-of-spatial-planning-data_final

Spatial Data Harmonization
On how to realize it in Spatial Planning

Karel JANECKA, Otakar CERBA,
Karel JEDLICKA, Jan JEZEK

University of West Bohemia

http://portal.sdi-edu.zcu.cz 1

Harmonization and its role in spatial planning

Spatial data harmonization

• Providing access to data through network services in a
representation that allows for combining it with other INSPIRE data
in a coherent way by using within the European Spatial Data
Infrastructure (ESDI) a common set of data product specifications.
• This includes agreements about coordinate reference systems,
classification systems, application schemes, etc.



Components of harmonization:

• INSPIRE principles • Metadata
• Reference model • Maintenance
• Data translation model • Quality
• Portrayal model • Data transfer
• Application schemes and • Derived reporting & multiple
feature catalogues representations
• Dictionaries • Consistency between data
• Data Capturing


An example of Spatial Data
Harmonization using
PostgreSQL + PostGIS


HARMONIZATION

Source data model Target data model

Zemgale urban
CORINE land
planing
cover
(specific data model)

Geometry

Reclassification

HARMONIZATION


HARMONIZATION STEPS

 Definition of reclassification rules
 Data reclassification
 Union of touching geometries in same class
 Transformation from multipolygon to polygons


HARMONIZATION STEPS IN

 Definition of reclassification rules → Create mapping table
 Data reclassification → SQL JOIN using mapping table
 Union of touching geometries in same class → Spatial aggregate
function Union
 Transformation from multipolygon to polygons → Spatial function
dump for converting multipolygon to polygon


ZEMGALE DATA MODEL

Atribute Field Explanation Type

VEIDS Planed land use type (see possible values down) Text 50

INDEKSS Area with speciffic restrictions Text 10

PLATIBA Area(m2) Long Integer

TER_VIEN territorial unit Text 50

ADM_TER administrative area Text 50

LAYER Layer number in CAD systems Text 50

PIEZIMES notes Text 100


LAND COVER DATA MODEL

CORINE land
cover

RECLASSIFICATION RULES
ZEMGALE CLASSIFICATION → CORINE NOMENCLATURE

1 DzM Low-rise residential dwellings → 11 Urban fabric
2 DzV Multi-residential dwellings → 11 Urban fabric
3 P Public Building → 11 Urban fabric
4 RR Production facilities and warehouses → 121 Industrial or commercial units
5 RD Mining area → 131 Mineral extraction sites
6 T Technical Building → 12 Industrial, commercial...
7 Ū Waters → 5 Water bodies
8 M Forests → 31 Forests
9 ZĪ Outstanding foliage sites No corresponding class
10 ZC Other groomed greenery space → 141 Green urban areas
11 L Rural Land → 2 Agriculture areas
12 No data No corresponding class


Database tables

 plan_zonejums_part – orginal dataset (imported from
shapefile)
 lc_original - original classification for land cover
 lc_standardized – standardized classification for land cover
 standardized_to_original – classification mapping
 plan_zonejums_part_harm – reclassified data


Database schema


Harmonization query

 We have: plan_zonejums_part, lc_original, lc_standardized,
standardized_to_original
 We need: plan_zonejums_part_harm
 SQL Query:
CREATE TABLE plan_zonejums_part_harm AS

SELECT nextval('gid_seq'::regclass) AS gid, orig.gid AS original_gid,
orig.the_geom, orig.veids, orig.standardized_cl, lc_standardized.lc_class

FROM lc_standardized, ( SELECT plan_zonejums_part.gid,
plan_zonejums_part.the_geom, plan_zonejums_part.veids,
standardized_to_original.standardized_cl

FROM plan_zonejums_part

RIGHT JOIN standardized_to_original ON plan_zonejums_part.veids =
standardized_to_original.original_cl) orig

WHERE orig.standardized_cl::text = lc_standardized.classification::text;

Database tables

 plan_zonejums_part – orginal dataset (imported from
shapefile)
 lc_original – original classification for land cover
 lc_standardized – standardized classification for land cover
 standardized_to_original – classification mapping
 plan_zonejums_part_harm – reclassified data


RECLASSIFIED DATA SET


Next step – union of adjacent features with
same class

SELECT
NEXTVAL('gid_seq'::regclass)::integer AS gid,
(ST_Dump(foo.the_geom)).geom AS the_geom, standardized_cl,
lc_class FROM (
SELECT
ST_union(the_geom) AS the_geom, standardized_cl, lc_class
FROM plan_zonejums_part_harm
WHERE the_geom IS NOT NULL
GROUP BY standardized_cl, lc_class) AS foo
WHERE foo.the_geom IS NOT NULL;


Final dataset


An example of Spatial Data
Harmonization using commercial
GIS software - ArcGIS


Using ArcGIS Model Builder
for transformations between
data models
P4A Land Cover example


Understanding target data

• Plan4all Land Cover data model



– ERA diagram of database schema in ESRI Geodatabase.
Geometry Polygon Coded value domain
Simple feature class Contains M values No CorineLandCoverCode
LandCoverStandardisedArea Contains Z values Yes Description CorineLandCoverCod
Allow Prec- Field type e
Field name Data type nulls Default value Domain ision Scale Length Split policy String
Relationship class Merge policy Default value
OBJECTID Object ID StandardisedArea_OriginalArea Default value
Code Description
SHAPE Geometry Yes Type Simple Forward label OriginalArea 1 Artificial surfaces
inspireId String Yes 15 Cardinality One to many Backward label StandardArea
2 Agricultural areas
source String Yes 50 Notification None
3 Forest and semi natural areas
classification String Yes CorineLandCoverCode 21 Origin feature class Destination feature class
4 Wetlands
beginLifespanVersion Date Yes 0 0 8 Name StandardArea NameOriginalArea 5 Water bodies
endLifespanVersion Date Yes 0 0 8 Primary key inspireId
11 Urban fabric
SHAPE_Length Double Yes 0 0 Foreign key inspireId Industrial, commercial and
12
SHAPE_Area Double Yes 0 0 No relationship rules defined. transport units
Mine, dump and construction
13
sites
Artificial, non-agricultural
14
vegetated areas
Geometry Polygon 21 Arable land
Simple feature class Contains M values No 22 Permanent crops
LandCoverOriginalArea Contains Z values Yes
23 Pastures
Allow Prec- 24 Heterogeneous agricultural areas
Field name Data type nulls Default value Domain ision Scale Length
31 Forests
OBJECTID Object ID 32
Scrub and/or herbaceous
SHAPE Geometry Yes Open spaces associationsno
vegetation with little or
33
inspireId String Yes 15 vegetation
41 Inland wetlands
source String Yes 50 42 Maritime wetlands
classification String Yes 21 51 Inland waters
classificationLink String Yes 50 52 Marine waters
SHAPE_Length Double Yes 0 0 111 Continuous urban fabric
SHAPE_Area Double Yes 0 0 112 Discontinuous urban fabric
121 Industrial or commercial units
Road and rail networks and
122
associated land
123 Port areas
124 Airports
131 Mineral extraction sites
132 Dump sites
133 Construction sites
141 Green urban areas
http://portal.sdi-edu.zcu.cz 142 23
Sport and leisure facilities
211 Non-irrigated arable land
212 Permanently irrigated land



Simple feature class Geometry Polygon
Contains M values No
LandCoverStandardisedArea Contains Z values Yes
Allow Prec-
Field name Data type nulls Default value Domain ision Scale Length Relationship class
OBJECTID Object ID StandardisedArea_OriginalArea
SHAPE Geometry Yes Type Simple Forward label OriginalArea
inspireId String Yes 15 Cardinality One to many Backward label StandardArea
source String Yes 50 Notification None
classification String Yes CorineLandCoverCode 21 Origin feature class Destination feature class
beginLifespanVersion Date Yes 0 0 8 Name StandardArea NameOriginalArea
endLifespanVersion Date Yes 0 0 8 Primary key inspireId
SHAPE_Length Double Yes 0 0 Foreign key inspireId
SHAPE_Area Double Yes 0 0 No relationship rules defined.

Simple feature class Geometry Polygon
LandCoverOriginalArea Contains Z values Yes
Allow Prec-
Field name Data type nulls Default value Domain ision Scale Length
OBJECTID Object ID
SHAPE Geometry Yes
inspireId String Yes 15
source String Yes 50
classification String Yes 21
classificationLink String Yes 50
SHAPE_Length Double Yes 0 0
SHAPE_Area Double Yes 0 0

Understanding source data

• Zemgale (Latvia) data model
Geometry Polygon
Coded value domain
CorineLandCoverCode
Contains Z values Yes Description CorineLandCoverCod
Prec- Field type e
lue Simple feature class
Domain ision Scale Length Geometry Polygon Split policy String
Relationship class Contains M values No Merge policy Default value
plan_zonejums_JelgavaSurroundings StandardisedArea_OriginalArea
Contains Z values No Default value
Code Description
Allow Type Simple Forward label Prec-
OriginalArea 1 Artificial surfaces
Field name Data type nulls
15 Default valueOne to many Domain label ision Scale Length
Cardinality Backward StandardArea
2 Agricultural areas
50 Notification None
OBJECTID Object ID 3 Forest and semi natural areas
CorineLandCoverCodeGeometry
Shape Yes 21 Origin feature class Destination feature class
4 Wetlands
gid 0
Double 0 Yes 8 Name StandardArea 0 0
NameOriginalArea 5 Water bodies
veids String 0 Yes 8
0 Primary key inspireId 21 11 Urban fabric
Foreign key inspireId
indekss String 0 Yes
0 254 12
Industrial, commercial and
transport units
platiba String 0 Yes
0
Atribute FieldNo relationship rules defined.
Explanation 21 13 Type Mine, dump and construction
sites
Artificial, non-agricultural
pasv String Yes 254 14
vegetated areas
piezimes String Yes 254 21 Arable land
map_leaf
Geometry Polygon
String Yes
VEIDS Planed land use type (see possible
254
values down) Text 50
Contains M values No 22 Permanent crops
dept Contains String
Z values Yes
Yes 254 23 Pastures
Shape_Length Prec-
Double Yes INDEKSS Area with speciffic0restrictions
0 24 Text 10 Heterogeneous agricultural areas
lue Domain
Shape_Area ision ScaleYes
Double Length 0 0 31 Forests
PLATIBA Area(m2) 32 Long Integer and/or herbaceous
Scrub
vegetation associations
Open spaces with little or no
33
15 vegetation
41 Inland wetlands
50 TER_VIEN territorial unit Text 50
42 Maritime wetlands
21 51 Inland waters
50 ADM_TER administrative area 52 Text 50 Marine waters
0 0 111 Continuous urban fabric
0 0
LAYER Layer number in CAD systems 112 Text 50 Discontinuous urban fabric
121 Industrial or commercial units
Road and rail networks and
122
PIEZIMES notes 123
Text 100 associated land
Port areas
124 Airports
25
Mineral extraction sites
132 Dump sites

Attribute mapping
ZEMGALE CLASSIFICATION → CORINE NOMENCLATURE

1 DzM Low-rise residential dwellings → 11 Urban fabric
2 DzV Multi-residential dwellings → 11 Urban fabric
3 P Public Building → 11 Urban fabric
4 RR Production facilities and warehouses → 121 Industrial or commercial units
5 RD Mining area → 131 Mineral extraction sites
6 T Technical Building → 12 Industrial, commercial...
7 Ū Waters → 5 Water bodies
8 M Forests → 31 Forests
9 ZĪ Outstanding foliage sites No corresponding class
10 ZC Other groomed greenery space → 141 Green urban areas
11 L Rural Land → 2 Agriculture areas
12 No data No
http://portal.sdi-edu.zcu.cz corresponding class 26

Transformation steps

• Understanding both source and target data
– A necessary condition!

1. Transform source data to WGS 84.
2. Transform the source data geometry and attributes to match the
target scheme.
3. Apply domain.


Transformation of coordinate system

1. Transform source data to WGS 84.
– Explore source coordinate system,
– Run transformation


Transformation of geometry and attributes

2. Transform the source data geometry and attributes to match the
target scheme.
– Create classes:
• LandCoverOriginalArea,
• LandCoverStandardisedArea.
– Fill them with data.
– Create relationship between them.


Transformation of geometry and attributes


Applying a domain

3. Apply a StandardClassification domain to
LandCoverStandardisedArea.


Result


References

• JEDLICKA, K.: Using ArcGIS Model Builder for transformations between data models
- P4A Land Cover example. In: PLAN4ALL workshop on spatial data harmonization.
Riga, 2011.

• JEZEK, J.: Technological aspect of spatial data harmonization.
[ONLINE] http://prezi.com/ro8cfb114n2d/harmonization/

• Project HUMBOLDT
http://www.esdi-humboldt.eu/home.html

• Project PLAN4ALL
http://portal.plan4all.eu

• Project SDI-EDU
http://portal.sdi-edu.zcu.cz

Cerba ppt gi2011-harmonization-of-spatial-planning-data_final

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