Geo 121 Exam 2

Front 1

The first industry-Scaled GISW

Back 1

CGIS (Canadian Geographic Information System)

Front 2

The man behind the first industry scale-GIS, also known as the father of GIS.

Back 2

Roger Tomlinson

Front 3

The man responsible for first publishing the concept of the spatial overlay.

Back 3

Ian Mcharg

Front 4

3 Basic Components of Spatial Data

Back 4

Geometry, Topology, Attributes

Front 5

A value or property attached to a specific feature

Back 5

Attribute

Front 6

Using mathematics to express to explicitly code the spatial relationships between objects

Back 6

Topology

Front 7

Data model using points, lines and polygons to represent spatial data digitally.

Back 7

Vector

Front 8

A vector data structure without topology

Back 8

Cartographic Spaghetti

Front 9

Process of converting scanned features into a vector object.

Back 9

Digitizing

Front 10

In a topological data structure, a directed arc tagged with explicit left and right sides encodes this type of spatial relationship between features.

Back 10

Adjacensy

Front 11

Data model that conceptualizes spatial features as a surface of equally spaced and equally sized square cells.

Back 11

Raster

Front 12

A raster data set holds this many attributes

Back 12

One

Front 13

Aligning a dataset without spatial information to one that has spatial information.

Back 13

Georeferencing

Front 14

Known coordinate locations used to align the unreferenced image of the source dataset.

Back 14

Control Points.

Front 15

Minimum number of control points needed to fit an unreferenced image to a source dataset.

Back 15

3

Front 16

Best pattern for placing control points to ensure a well-referenced image.

Back 16

Spread throughout the data

Front 17

The 4 ways that an affine transformation warps an unreferenced image to match the source dataset.

Back 17

Skew, Rotate, Scale, Translate

Front 18

The measure used to indicate the accuracy of your final georeferencing

Back 18

RMSE (Root mean square error)

Front 19

The spatial overlay that creates a new dataset containing all the features from both input layers

Back 19

Union

Front 20

Using the field called POPULATION, the expression you would write to select all the cities with more than 5,000,000 people.

Back 20

"Population" > 5,000,000

Front 21

The boolean operation used to select features that meet both of 2 criteria stated in a query.

Back 21

AND

Front 22

The term used when 2 layers are combined together in a GIS

Back 22

Overlay

Front 23

The operation used to determine how many schools are within 2 miles of Terry Park.

Back 23

Buffer

Front 24

The term used when a new dataset is derived from existing data.

Back 24

Geoprocessing

Front 25

Component of the attribute table that stores spatial features.

Back 25

Rows or Records

Front 26

Level of measurement in which the data are grouped by type and then ranked

Back 26

Ordinal

Front 27

Population, which has a natural zero starting point for measuring, represents this level of measurement

Back 27

Ratio

Front 28

2 reasons we classify data for mapping.

Back 28

Simplify spatial patterns, highlight important aspects of the broader patterns

Front 29

Classification method that maximizes the similarity of data values within each class and minimizes the similarity of data values between classes

Back 29

Natural Breaks

Front 30

The difference between Equal Intervals and Quantiles data classification

Back 30

Equal Interval groups values into equal data ranges; Quantiles groups data set values so that each group has the same number of values in it.