grs10306 overall repetition exercises

GRS�10306

Overall Repetition Exercises

CGI�GIRS ©1011

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Objective ORE

� 3 exercises / cases | link with lectures & practicals

� GIS concepts : from perception to data

� Georeference & Projection

� Geovisualisation & cartography: 12 steps

� Geodata & Metadata (incl. SDI)

� Data Handling : DA model, Query, Transform, Alter

� Remote Sensing: data, data handling

>>> GIS applications & research topics

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exercises / cases:Case 1 (30) – data / information selection and preparation� GIS Concepts > from perception to geodata (feature, data structure,

attribute, domain)� Georeference & Projections > coordinate system, map projection� Data handling > query (spatial join) – simple statistics� Data handling > DEM processing by focal functions (slope, aspect) – simple statistics

Case 2 (20) – more complicated data / information selection and preparation� Data handling > formal Query structure Attribute�Dataset�Condition (SQL – like)� Data handling > Query Type plus ArcGIS tool plus Results � simple statistics

Case 3 (50) – analysis to find locations that fulfill criteria� Geodata & Metadata > meta data of the datasets to use � Data handling > data�action model design (complete !!)� Data handling > implement by using the data handing classes according ArcGIS� Visualisation & Cartography > make a map layout� Data handling > simple statistics, number of locations, size, area, max�min� Data handling > validation (e.g. location of current building in relation to

potential locations)

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Your result: .mxd file

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Case 1a. feature type

� polygon (see shape field attribute table)

b. data structure� vector� selected as an individual feature (polygon)

c. attribute values� 503, Polygon, 566.24341, 121.11597

13502, 1

d. coordinate system� RD�new

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Case 1 � querye. nearest road to the old GIRS building (1)

� join between layer ‘Land_use’ (polygon)

and layer ‘roads’ (poly line)� join data from layer ‘roads’ based on a

spatial location� nearest road including the distance will

be calculated for every individual polygon� select the old GIRS building

Hesselink van Suchtelenweg / 8.7 meters

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Case 1� spatial join polygon � linee. nearest road to the old GIRS building (2)

� join between old GIRS building

(polygon) and layer ‘roads’ (poly lines)� select old GIRS building and save it to a

new layer ( . . . Data / Export Data . . . ) � join data from layer ‘roads’ based on a


be calculatedHesselink van Suchtelenweg / 8.7 meters

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Case 1� spatial join point � linee. nearest road to the old GIRS building (3)

� spatial join possible between point and line

� create new feature class (point)� digitize the old GIRS building as a point� join data from layer ‘roads’ based on a


be calculated� Hesselink van Suchtelenweg / 21.0 m1

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Case 1� spatial join line � polygonf. Average distance from old GIRS building

to the 5 nearest roads (1)� perform join based on layer ‘roads’ and

new layer ‘Old GIRS building’ (polygon)� distance from every road to the old GIRS

building will be calculated� select 5 shortest distances and calculate

average by ‘Field statistics’Average distance = 71.85 m1

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Case 1 � DEMg1. Majority slope aspect of the old

GIRS building (visual)� perform a DEM

� calculate slope aspect

DEM

SLOPEASPECT

ELEVATION POINTS

transformation vector > raster

interpolationIDW / Spline

aspectcalculation

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Case 1 � DEMg1. Majority slope aspect of the old

GIRS building (visual)� perform a DEM

� calculate slope aspect� select Old GIRS�Building and save

it into a new dataset� display both layers� majority slope is Southwest

DEM SLOPE ASPECT

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Case 1 – DEM your result

DEM1–46 m1

SLOPEASPECT

ELEVATION POINTS

SLOPEGRADIENT

0:90°

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Case 1 – DEM your resultg2. Majority slope aspect of the old

GIRS building (2)� perform a DEM

� calculate slope aspect� transform layer Old GIRS�Building

to raster (same cell size as DEM)Local / Combine / Field Statistics

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Case 1 – DEM – your resultg2. Majority slope aspect of the old

GIRS building (3)� transform layer Old GIRS�Building

to raster

� perform a DEM

� calculate slope aspect� reclassify slope aspect� Zonal / zonal statistics as

table: Majority Aspect is Southwest

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Case 2

a. Calculate the average clay�% of the soil profile points, which are located within the land use features classified as ‘pasture’ (C2 = 5) and within a distance of 100 m to ‘roads’.

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Case 2: Query � your result

Select point features / Clay%

From database ‘Soil_points’

Where located within land use features classified as ‘pasture’ (C2=5) and within a distance of 100 m to ‘roads’

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Case 2: Query � your result

1 selectedSpatialSelect feature tool

Selection which fall in areas

Soil_pts

100 SelectedSpatialOverlay/Intersect

Make an intersect

IntersectRoad_Buffer &Land_use

109 selectedTabularSelect by attribute

Select C2=5Land_use

BufferzoneSpatialProximity/Buffer

Create bufferzoneof 100m

Roads

ResultQuery type(tabular/spatial)

ArcMap’sFunctionality

DescriptionDataset

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Case 2: Query expected result

SPATIALSELECT BY

LOCATION

‘WITHIN DISTANCE OF’

SELECT SOIL_

POINTS WITHIN 100 M TO ‘ROADS’

SELECT FROM CURRENT SELECTION

SOIL_POINTS

SPATIALSELECT BY LOCATION

‘COMPLETELY WITHIN’

SELECT SOIL_

POINTS WITHIN PASTURE

NEW SELECTION

SOIL_POINTS

TABULARSELECT BY

ATTRIBUTE

SELECT PASTURE

C2 = 5

NEW SELECTION

LANDUSE

RESULTQUERY

TYPE

ARCGIS

TOOL

DESCRIPTIONDATASET

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Case 3

The Centre for Geo�information has been very successful the last five years in education and research and is growing so fast that the staff decided to move to a new building somewhere in the south of Wageningen.

You, as GIS experts have been asked to map where the suitable areas in the southern part of Wageningen for building this new Centre for Geo�information’ are

located.

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Case 3: criteria = conditions

� soil must be ‘Holtpodzolgrond’

� location within 100 meters to the nearest road

� slope angle between 10 and 25 degrees

� slope aspect South or South:East (112.5 – 212.5)

� area at least 1.300 m2 STUDY AREA

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Work procedure

� Understand intended results – objective, target group

� DA diagram sketch – query

� Check available data – data, metadata

� Pre process data – data handling / references /projections

� Design DA diagram – data handling

� Process data – data handling

� Present results – cartography, report

� Validate results – data handling

� Final Presentation – cartography, report

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Design DA

elevheight landuse roads

elevation

to map the suitable areas in the southern part of Wageningen for GIRS building

soilshp

To save costs, the new building has to be built on a sandy soil; soils classified as ‘Holtpodzolgrond’ are suitable.

The new building has to be located within 100 meters from the nearest road.

Only locations with a slope angle between 10° and 25° are suitable.

Slopes facing South or South�East are suitable.

The total area for the new building, parking place, etc. has to be at least 1300 m2.

SuitLoc ?

Lu_raster

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Design DA

elevheight landuse roads

elevation

to map the suitable areas – the number of locations, total area, coverage by forest –in the Southern part of Wageningen for GIRS building

soilshp

To save costs, the new building has to be built on a sandy soil; soils classified as ‘Holtpodzolgrond’ are suitable.

The new building has to be located within 100 meters from the nearest road.

Only locations with a slope angle between 10° and 25° are suitable.

Slopes facing South or South�East are suitable.

The total area for the new building, parking place, etc. has to be at least 1300 m2.

SuitLoc ?

Lu_raster

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Case 3 � Meta data

Student result:

Soil raster: soil code = gY30

Roads: buffer zone roads = 100 m

Slope = 10 – 25 degree

Slopes facing = South or South�East

� data structure

� coordinate system

� owner

� resolution

� . . . . . .

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Case 3 � DA model � your result

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Case 3 � DA model � your result1. Calculate slopes and slope aspects

2. Search for areas without buildings

3. Search for suitable soil

4. Search for areas within 100 meters of roads

5. Search for slopes between 10 and 25 degrees

6. Search for slope aspects south or south�east

7. Transform to raster

8. Combine all rasters

9. Search for locations big enough

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Case 3 � DA model � your result

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Case 3 � DA model � expected result

0D

5A

Distance< 100 m

Roads

Suitablelocations

Distance< 100 m

SlopeAspect

SlopeGradient

SuitableSlope (10-25)

Suitable soilsgY30

0B 0C

6 7

13

16

17

1A

7A

10A

12A 13A 14A

15A 16A

17A

18A

SuitableAspect (S/SE)

19A

DEM

??

Soils

?

input

output

Legend:

:

:

:

processing

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Exercise 3 � Raster calculator

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Case 3 � DA model – expected result

Suitablelocations

Suitable locations

Suitable Locations> 1.300 m2

?

Suitablelocations

SuitableLocations> 1.300 m2

Suitablelocations

?

Region Group

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Case 3 � Region group / area calculation

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Case 3 � cartography – your result

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The green areas are the suitable locations.

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Case 3 � cartography – expected

1. Objective

2. Stakeholder

3. Title

4. Legend components

5. Hierarchy

6. Measurement scale

7. Number of classes

8. Graphic symbols

9. Graphic attributes

10. North arrow

11. Map scale

12. Data source

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Case 3 � cartography

– your result

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Case 3 � % of the area covered by forest

Landuseraster

Forest

Forest on Suitable locations

?

Suitablelcoations

59% covered by forest

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Case 3 � location suitability for the ‘old’ GIRS building

OLD GIRS BUILDINGSUITABLE AREACRITERIA

area building = 566 m2> 1.300 m2Area

< 25 m1< 100 m1Distance to roads

average aspect = 231> 112 and < 202Slope aspect

average slope = 14>10 and < 25Slope gradient

HoltpodzolgrondHoltpodzolgrondSoil

grs10306 overall repetition exercises

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