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    Digitale Ruimtelijke Data 2011

    Geographical Information Systems en Remote Sensing

    Geo ra hical Information S stems

    , , ,

    Spatial Information Laboratory,

    Institute for Environmental Studies

    1

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    Outline lecture

    What is GIS?

    Definitions

    Spatial versus geographic data

    2

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    What is a GIS? A bit of history

    Planimeter (Coradi, 1886)divider caliper (steekpasser) Map engraving on lithographic stone (1915)

    3

    Field mapping Theodolite Kern PG-2 stereoplotter

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    What is a GIS? A bit of history

    The impact of GIS

    'the biggest step forward in the handling ofgeographic information since the invention of the

    map (DoE1, 1987, p 8)

    4

    1DoE - Department of Environment (1987) Handling Geographic Information (H.M.S.O., London)

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    What is a GIS? A bit of history

    Succes of GIS thanks to

    Data integration capabilities

    GPS

    Internet

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    Outline lecture

    What is GIS?

    Definitions

    GIS or GIScience?

    Applications

    What is GIS data?

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    What is a GIS? - definitions

    Geographical Information System

    ,

    software, people andprocedures designed to

    support the capture,

    management,,

    and display of

    spatially-referenced data

    for solving complexspatial planning and

    7

    .

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    What is a GIS? - definitions

    -

    GIS is defined according to capability and purpose for

    which it is a lied

    Often used definition is from Burrou h (1986 :

    retrieving at will, transforming and displaying

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    What is a GIS? Tool or Science?

    Geographical Information Science

    Recognition of GIS as a formalisation of geographictheory and practise.

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    What is a GIS? Tool or Science?

    Concerns about possible misuse of GIS:

    Move from GIS as a concert pianist model as a toolconfined to experts, to a child of ten model in which

    t e power o GIS is avai a e to a Mic ae

    Goodchild, 2006)

    GIS should be used in combination with knowledge

    instead of bein a substitute for it and eo le usin

    GIS should therefore be trained in the nature of

    geographical phenomena.

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    What is a GIS? Disciplines & applications

    Scientific disciplines using GIS

    Earth and environmental sciences-Environmental impact / risk assessment

    -

    Spatial economics-Economic value mapping

    -

    -Erosion/hydrologic modeling

    -Geological mapping / mineral exploration

    Carto ra h

    -Transportation economics

    -Land use modeling

    Landca e ecolo

    Remote sensing/photogrammetry

    Geodesy/cadastral surveying

    Health geography

    Criminology

    Civil engineering

    Historical geography

    Public participation GIS

    Forestry

    11

    Climate change sciences

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    What is a GIS? Disciplines & applications

    Daily life GIS applications

    - y managemen energy

    infrastructure, water supply,telecommunication, sewage, etc.)

    - oca on ase serv ces

    -(Militairy) terrain evaluation-Geobrowsers

    -Water management (water

    boards)

    -

    -Internet mapservices (news

    sites, online house finding

    management and traffic control

    -Land administration (cadastre)

    , ,

    weather reports, etc.)

    -Etc.

    - ar nav ga on-Fleet management

    -City planning

    12

    -Precision agricultureSee for more examples e.g.

    http://www.gisdevelopment.net/application/index.htm

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    GIS data

    What is GIS?

    What is GIS data? Introduction

    Raster and vector models

    Coordinate systems & projections Georeferencing

    Data Quality

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    GIS Data

    (where)

    Attribute data: description of spatial data features

    (what)

    Topology: definition of spatial data relationships

    (how)

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    GIS Data

    Examples of geographic data

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    GIS Data

    Examples of spatial data

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    GIS Data

    Examples of geographic data 122155

    Coordinate s stem:

    RijksdriehoekstelselNetherlands

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    GIS Data

    Examples of geographic data

    Known locations on earth

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    GIS Data

    Examples of geographic data

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    GIS Data

    Examples of attribute data

    - The population of town X is 34568 people

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    GIS Data

    Examples of attribute data

    - The number of cars per household per neighborhood is 0,6

    Aantal autos per

    huishouden

    21

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    GIS Data

    SpatialNon-spatial

    (geometry, object,

    entity or feature)

    componen(attributes)

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    GIS Data

    Topology: spatial relations in GIS

    Source: http://www.edc.uri.edu/nrs/classes/NRS409/Lectures/3GISdefined/topology.gif

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    GIS Data

    Examples of topological questions

    -

    (Amsterdamse bos)?

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    Source: Kadaster-TDN, Soil statistics map 2000 Netherlands 1:10.000

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    Geographic Data: introduction

    Examples of topological

    - Can I cross the

    Amstel river via the

    Utrechtse brugcom ng rom t e

    Amsteldijk?

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    Source: Google Maps, October 2009

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    GIS Data

    Examples of topological questions

    -

    versa?

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    Source: Broekhuizen, J., M. Jansen, J. Slot (2008) Segregatie in het basisonderwijs in

    Amsterdam, Gemeente Amsterdam Dienst Onderzoek en Statistiek

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    Geographic Data structures

    Geographic phenomena can have clear boundaries, no real

    (diffuse) boundaries or virtual boundaries

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    Geographic Data structures

    Geographic phenomena with clear boundaries

    discrete phenomena, e.g. trees, streams, buildings

    (Mostly) presented as point, line or

    ol on features in vector data

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    Geographic Data structures

    Geographic phenomena with no real (diffuse) boundaries

    continuous phenomena, e.g. slope, precipitation, temperature

    (Mostly) represented with raster data

    (or with contour lines in vector data)

    Can be visualized/

    analyzed in 3Dsurface models

    29

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    Geographic Data structures

    Geographic phenomena with virtual or agreed boundaries

    (Mostly) presented as statistical

    ol on areas in vector data.

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    Outline Lecture

    What is GIS?

    What is GIS data? Introduction

    Raster and vector models

    Coordinate systems & projections Georeferencing

    Data Quality

    Where to find digital spatial data?

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    Geographic Data structures: raster and vector

    Two ways of storing geographic features: raster and vector

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    Source: http://cookbook.hlurb.gov.ph/files/images/RasterVector.preview.jpg

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    Geographic Data structures: raster and vector

    Vector data:

    Points are stored as single xy coordinates

    nes are ser es o po nts

    Polygons are composed of closed lines Attributes are attached to each feature

    through an unique numeric code

    Many attributes may be stored in each file

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    Geographic Data structures: raster and vector

    Vector model example:

    opograp ca map scre e a a

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    Geographic Data structures: raster and vector

    Raster data:

    One gridcell can only contain one value at a time

    ost y as ntegers o ten as co e num ers

    Floating point (decimals/real) values, or sometimes textcharacters also possible

    Stored as an array of values in table or text file

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    Geographic Data structures: raster and vector

    Spatial detail controlled by cell size (resolution)

    5 km500 m 25 km

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    g reso u on,

    small cell sizeow reso ut on,

    large cell size

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    Geographic Data structures: raster and vector

    Raster model example:

    Travel time to

    highway access

    cont nuous ata

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    Geographic Data structures: raster and vector

    Suitable for data with high spatial variability

    Spatial analysis often simpler and faster,

    especially raster overlays (map algebra)

    Some types of analysis only possible with

    raster

    Easy to integrate with satellite data

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    Geographic Data structures: raster and vector

    Raster disadvantages

    Topological relationships are not explicit

    Requires huge computer memory for high resolutions

    Poor cartographical presentation on low resolution

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    Geographic Data structures: raster and vector

    Vector advantages

    Efficient data storage (about 10% compared toraster data)

    Topological analyses are more efficient or only

    possible with vector (e.g. network analysis)

    Greater spatial accuracy possible (cartography)

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    Geographic Data structures: raster and vector

    Vector disadvantages

    Complex data-structure

    Precision of boundaries can be misleading

    Production of vector maps is expensive (time-

    consuming)

    41

    h d

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    Geographic Data structures: raster and vector

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    Source: T.Nijeholt at nl.wikibooks

    G hi D d

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    Geographic Data structures: raster and vector

    Choosing your data model (raster and/or vector):

    (discrete/continuous)

    Choosing not always

    43

    G hi D t t t t d t

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    Geographic Data structures: raster and vector

    Choosing your data model

    (raster and/or vector):

    Expected type and scale of

    analyses (storage and

    processing speed)

    Cartographic detail needed

    Vector raster conversion

    44

    G hi D t i ti

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    Geographic Data: organisation

    La er based a roach:

    Each topic is stored in a

    For ot raster an vector

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    Geographic Data: input

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    Geographic Data: input

    npu a a ypes

    canne or g ze maps

    Satellite images

    Field observations / GPS

    Tables

    46 Existing GIS data

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    Geographic Data: coordinate systems and projections

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    Geographic Data: coordinate systems and projections

    A map is a projection of the earths rounded surface on a

    flat surface

    See lectures and practical

    on e nes ay e ruary

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    Geographic Data: Georeferencing

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    Geographic Data: Georeferencing

    Georeferencing: Linking information of geographical

    More about georeferencing coming Friday, 4 February

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    Outline Lecture

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    Outline Lecture

    What is GIS?

    What is GIS data? Introduction Raster and vector models

    Coordinate systems & projections

    Georeferencing

    Data Quality

    Where to find digital spatial data?

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    Geographic Data: Data Quality

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    Geographic Data: Data Quality

    To judge data quality metadata is needed

    Metadata are the who, what, when, where, why and how of

    the data

    Identification

    Source administration

    Data organisation

    Distribution conditions

    Spatial reference

    Spatial extent Quality (accuracy, lineage, completeness, logical consistency)

    51

    More about spatial data quality on Wednesday 16 February

    Outline Lecture

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    Outline Lecture

    What is GIS?

    What is GIS data?

    Exercise:

    Introduction in D107 at 14:00

    Practical this afternoon at 14:30 in S203 and S205

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