3: Building Blocks of GIS Flashcards

1
Q

WHAT IS GEOGRAPHIC INFORMATION

A

Information about stuff on the earth’s surface
WHERE, WHAT and perhaps WHEN

Examples: landform, soil, geology, attributes, property

also… data, info, knowledge
two types: geometric vs attribute

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2
Q

LIST 5 BASIC GEOMETRIC PROPERTIES OF FEATURES

A

Points, lines, polygons, network, volume

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3
Q

GIVE EXAMPLES OF GIS SPATIAL MODEL TYPES

A

Raster and Vector

Data model is an abstraction of the real world, which one you use depends on what you are modelling

raster for continuous data
vector for discrete data

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4
Q

GIVE EXAMPLES OF GIS DATABASE STRUCTURES (3)

A

Data Structure: how the data is stored, what does the file structure look like

Relational database model - attribute files and geographic data are stored in different files
ex: SQL structure query language used to query the data in a relational database

Hierarchical database model - like a family tree, 1 to 1 or 1 to many

Network database model - many to many but time consuming

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5
Q

LIST USES FOR A DIGITAL ELEVATION MODEL

A
modelling features
visibility assessment
slope
aspect
hillshade
identify route of landslide or flooding
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6
Q

What is fuzzy logic?

A

Some geographic features change so are difficult to accurately represent… ex: water level of a lake

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7
Q

What is the importance of scale when representing features

A

Everything we represent in GIS is based on the scale of the data, a city could be a point at one scale or an area at another, display scale is different than the scale of data

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8
Q

Two types of data to represent geographic info/features

A

Discrete - a point or separate individual objects

Continuous - a field of data with no breaks

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9
Q

How is spatial data stored in Vector models?

A

Points, lines, polygons

Each point has a unique identifier, an x coordinate and a y coordinate. Attributes are linked by the unique identifier

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10
Q

How is spatial data stored in Raster models?

A

Grid of cells/pixels with values, sometimes just a binary system is used to show the presence of the phenomena where 0=no, 1=yes
one attribute in each cell per layer
different layers for different attributes

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11
Q

Points

A

no spatial dimensions (width or length)
has a location (x,y)
can be real or virtual

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12
Q

Lines

A

has length but not width
has two locations, start and end which have coordinates
can have intermediate points if complex
can be real or virtual

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13
Q

Polygons

A

just like a line but ends at the first point
has two dimensions, length and width
has perimeter and area
can be real or virtual

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14
Q

What are vector models good at representing?

A

Discrete data

Socio-economic data

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15
Q

What are raster models good at representing?

A

Surfaces and continuous data

elevation, temperature, air pressure, salinity, pH

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16
Q

Advantages/disadvantages of raster

A

Better suited for spatially continuous data
Better for visualisations and modelling
Fast and efficient processing
Large files

17
Q

What is a DEM

A

Digital elevation model (raster)
Continuous surface of cells with elevation (height) displayed as shaded by height

Disadvantages: File size is large! Cell is averaged to might miss low or high points

18
Q

Visibility analysis

A

use DEM to see calculate the viewshed seen from a specific point (observer)
example: military use, cell towers, urban planning/landscape

19
Q

Slope analysis maps

A

calculate slope angle (degree/steepness)
or aspect (direction of slope face)
example: solar gain for solar panel or building houses oriented to the sun

20
Q

TIN Surface

A

Triangulated irregular network

an efficient way of storing 3D model (not raster) no redundant data, just collect points at critical features

creates a network of irregular triangles in which lines between points have a constant slope

21
Q

Networks

A

the connected line features with a hierarchy and sometimes also a direction
example: streams or road network
often used for routing (google maps)

22
Q

Advantages/disadvantages of Vector

A

Can represent features more accurately

Processing can be heavy/slow

23
Q

VECTOR data model

A

Best for discrete features
Location referenced in x,y coordinates
Coordinates linked into points, lines, polygons
Attributes referenced by unique ID to tables
Data comes from GPS, digitisation, LINZ

24
Q

RASTER data model

A

location is referenced by a grid cell in a matrix (rectangular array)
attribute is represented by a single value for that cell
data come from images (remote sensing), scanned maps, elevation data
best for continuous features like elevation, temperature, soil type, land use

25
Q

Data Structures… why?

A
Storage and retrieval of data
Fast searching
Repeatable results
Security levels
Multi user access
Record locking (someone else editing)
Integrity
26
Q

What is a shapefile? What kind of data structure is this used in?

A

File type .shp which codes the geography and can read the data and attributes which are linked by unique identifiers
This part of a hybrid data structure, which is made up of multiple other linked files, ex: attributes, projections, coordinates, etc. This is a standard/older method for organising data.

27
Q

What is an integrated data structure?

A

New method… A personal geodatabase .mdb with all geographic and attribute data.