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Flashcards in Chapter 1 Deck (25)
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1
Q

Map data falls in to two categories= ______ and ______

define both categories

A

discrete and continuous

Discrete data: objects in the real world with specific locations or boundaries, such as cities and roads

Continuous data: represent a quantity that is measured and recorded everywhere over a surface, such as temp or elevation

2
Q

two basic approaches to data formatting are _____ model and _______ model

define both

A

vector and raster

vector: is designed to store discrete data
raster: is designed to store continuous data

.both data systems are georeferenced

3
Q

X and Y coordinates are the ____ data while the information being represented is the _____ data

A

spatial

attribute

4
Q

georeference

A

meaning that information is tied to a specific location on earths surface using X and Y coordinates defined in a standard way: a coordinate system

5
Q

Vector Model

Benefits of the model(5)

Drawback of the model(2)

A

.use a series of X and Y locations to store information
-use points, lines, and polygons called features
.two basic bector models: spaghetti and topological
-spaghetti stores features of the file as independent objects, unrelated to each other
-spaghetti is simple and straightforward and is found in many applications
-often used to transfer vector features from one GIS system to another
-topological data model stores features, but it also contains information about how the features are spatially related to each other
-saves time when this information is needed, rather than having to use computer algorithms to determine it like in spaghetti
-topology can be used to model real world behaviour of features

  1. it can store individual features, such as roads and parcels, with a high degree of precision
  2. the linked attribute table provides great flexibility in the number and the type of attributes that can be stored about each feature
  3. is ideally suited to mapmaking because of the high precision and detail of features that can be obtained
  4. compact way of storing data, 1/10th of the space of a raster with similar info
  5. ideally suited to certain analysis problems, such as determining perimeter and areas, detecting whether features overlap, and modelling flow through networks
  6. it is poorly adapted to storing continuous surfaces/data, such as elevation or precipitation
    - contour lines can be used to represent surfaces, but calculating derived information from contours, such as slope, flow, direction, and aspect is difficult
  7. some types of analysis are more time consuming to perform with vectors
6
Q

Features in Vector

A

Points, lines, and Polygons
.points have no dimension, a well
.lines represent objects in one dimension, such as road or utility line
.Polygons are used to represent 2 dimensional areas, such as a land parcel or state

7
Q

node

vertex

A

.the endpoints of a line are termed nodes

.vertex is each intermediate point between nodes

8
Q

a polygon is a group of _____ that define a closed area

A

vertices

9
Q

feature classes

Attributes

A

like features which are grouped together into data sets
-can contain only one kind of geometry (point,line,or polygon features)
roads and rivers are different types of features and would be stored in separate feature classes

Attribute(stored in tables): objects in feature classes have information stored about them, such as their names or populations

10
Q

A special field called _____ ID or _____ ID links spatial data with attributes

A

Feature or Object

11
Q

Describe attribute table

A

Each feature’s attributes are stored in one row of the table, and each column has a different type of information, such as population or area

.a river or highway

12
Q

thematic mapping

feature datasets

A

to create a map in which the states are coloured based on an attribute field, such as population

can contain multiple feature classes that are in some way related to one another
ex: feature class called Transportation could include roads, traffic lights, railroads
13
Q

Adjacency

Connectivity

Overlap

Intersection

logical consistency

A

when two parcels share a common boundary

whether two water lines are attached to each other

whether a company sprayed pesticide over the same area on two different occasions

whether a highway connects to a crossroad or has an overpass

an application of topology which evaluates whether a data model or data set accurately represents the real world relationships between features

ex: lines representing streets should connect if the roads they represent meet
ex: two adjacent states must share a common boundary that is exactly the same, even though the states are stored in the data model as two separate features with two boundaries that coincide
ex: a line or a polygon boundary should not cross over itself

14
Q

Raster Model

two drawbacks of raster

A

.benefit of simplicity
.spatial data is represented as a series of small squares, called cells or pixels
-each pixel contains a single attribute
.vector features can be converted to raster format by selecting a single attribute to be stored in the cells
-rasters that store vector features in a raster format are sometimes called discrete rasters
.raster excels at storing continuous data
.it is possible to calculate the coordinates of every other pixel based on its row and column position

.they suffer from tradeoffs between precision and storage space to a greater extent than vectors do
.they can store only one numeric attribute per raster, while vector can store 100s

15
Q

rasters that store vector features in a raster format are sometimes called _____ rasters

A

discrete

16
Q

Digital elevation model

Digital Raster Graphic

Image Raster

A

.stores elevation values
.forms continuous surface/field
.commonly known as continuous rasters

a digital scan of a paper map which is stored as a raster
-ex of a image raster

store brightness values are are commonly used to store aerial photographs or satellite images

17
Q

_____ are commonly known as continuous rasters

A

DEM

-digital elevation model

18
Q

resolution

is 10m or 90m resolution more accurate?

A

the x and y dimensions of each pixel define the resolution of the raster data

  • higher the resolution, the more precisely data can be represented
  • high resolution means it increases file size dramatically

10m

19
Q

How are each represented on a map?

UTM

Geographic coordinate system

State Plane Coordinate System

A

represented in a scale in meters

corners are marked with degrees of latitude and longitude

indicates scale in feet

20
Q

Why is source scale important?

A

the original scale/resolution at which it was converted to digital form is important because it can determine the accuracy of the information when used in GIS
- it is possible to take small-scale data and zoom into large scale, the accuracy will suffer

21
Q

3 types of Resolution

A
  1. Spatial resolution indicates what distnacne interval measurements are taken and recorded, what is the size of a single pixel of satellite data?
  2. Thematic resolution can be impacted by using categories rather than measured quanitities: if one is collecting information on percent crown cover in a forest, is each measurement reported as continuous(32%) or as a classified range(10-20% or 30-40%)
  3. Temporal Resolution indicates how frequently measurments are taken.
22
Q

Data Quality(5)

A
  1. Generalization: not perfectly accurate because of changing situations
  2. Geometric Accuracy: how close X AND Y values of data set correspond to actual locations
  3. Thematic Accuracy: refers to attributes, how are they categorized and decided on
    - how hard is it to have accurate data, ex: everchanging population numbers
  4. Resolution
  5. Precision:in data analysis, how precise we choose to be
23
Q

Arc/Info VS ArcView VS ArcGIS(2001)

A
  1. .datamodel was coverages
  2. Shapefiles
  3. .datamodel is geodatabases
24
Q

Layer vs. feature Class

A

a feature class is a stored set of spatial data

a layer points to a feature class and stores information about how to display it and use it

25
Q

data frames

shapefiles

Geodatabase

coverage

A

windows that contain groups of layers that are drawn together

are spaghetti data models containing a feature class composed of points, lines, or polygons, but never a mixture

can contain many different objects including feature classes, networks, tables, rasters, and topology

ARCGIS has limited functions for managing coverages because of age
-coverages contain multiple feature classes, which may store points, arcs, polygons, and polygon labels.
-also store topology
-