GIS and GIS Data Model Flashcards

1
Q

What does GIS stand for?

A

Geographic information system

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2
Q

GIS stores geographic information in

A

A database and displays it on a map

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3
Q

GIS maps are considered

A

Dynamic

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4
Q

A GIS store two types of geographic information

A

Feature and Attributes

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5
Q

Functions of GIS are

A

Visualization, geodata management, and geographic analysis

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6
Q

Why do people use GIS

A

To make decisions and solve problems

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7
Q

Data

A

a collection of facts from which conclusions may be drawn

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8
Q

Geographic Data

A

(a collection of) facts about a geographic entity (Earth’s physical features, inhabitants, and phenomena) from which conclusions may be drawn

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9
Q

Geographic Data Model

A

the methods of representation of geographical data into the computerized geographic information system.

The location of a geographic entity is linked to a geometry (point, line, poly, or a pixel), which refers to as spatial data.

Then the geometry is linked to its attribute(s).

An attribute could be quantitative or qualitative.

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10
Q

Types of Geographic Data

A
Geographic Data:
- Spatial Data
Is discrete, qualitive, continuous 
- Attribute Data
Can be Qualitive or Quantitative, secrete and continuous.
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11
Q

Discrete Data

A

Integer Grids

Land use, Vegetation type, Roads, Wells

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12
Q

Continuous Data

A

Floating point grids

Elevation, Aspect, Pollutions, Rainfall

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13
Q

First Step Data is Prepared in

A

it uses points and their coordinates to represent spatial features as points, lines, and polygons

Dimensionality and property distinguish the point, line, polygons

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14
Q

Second Step Data is Prepared in

A

it organizes geometric objects and their spatial relationships into digital data files that computer can access, interpret, and process

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15
Q

The Level Of Detail In The Database Is Guided By

A

The scale of consideration

e.g.: A city at 1:1,000,000 may appear as a point, but at 1: 24,000 it will be an area

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16
Q

Dimensionalities and Properties of

Point

A

No length, width or height, only location implied

Defined by x, y coordinates

Also called a node or vertex

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17
Q

Dimensionalities and Properties of

Line

A

defined by a set of connected points

One-dimension, length, determined by the distance between the end points

Lines also known as edges, links

Examples: roads, streams, contour lines

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18
Q

Dimensionalities and Properties of

Polygon

A

wo-dimension, length and width give area and perimeter

Boundary is defined by a set of lines

Examples: political entities, water bodies

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19
Q

Point’s coordinates and Spatial Relationships

A

Coordinates are most often pairs (x,y) or triplets(x,y,z, where z represents a value such as elevation).

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20
Q

Topology

A

Topology is a mathematical approach of studying those properties of geometric objects that remain invariant under certain transformations such as bending or stretching.

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21
Q

When a Map is Stretched or Distorted

A

Some properties of objects are changed such as distance, angles, or relative proximities.

22
Q

Topological Properties

A

Some properties won’t change,

Adjacencies and incidence

Spatial relationships, such as “is contained in”, “crosses”

Types of spatial objects - areas remain areas, lines remain lines, points remain points

23
Q

A Spatial Database is often called “topological” if

A

Topological relationships have been computed, stored, and maintained such as

  • connectedness of links at intersections
  • ordered set of lines forming each polygon boundary
  • adjacency relationships between areas
24
Q

Elements of Raster Data Model and Feature Representation

A

Cell - also known as pixel

Cell value , Cell Size

Rows, number, Columns, number

Number of bands

Attribute table in raster dataset

25
Raster data represent
points by a single cells, lines by sequences of neighboring cells, and areas by collections of contiguous cells.
26
Raster dataset attribute tables
Some raster datasets contain attribute tables Typically cell values can represent or define a class, group, category, or membership
27
Cell Values in Raster data
Cell values can be Integer or Floating-point
28
Integer
Number with no decimal digits Used for representing categorical data or discrete data e.g.: land use, forest category, soil type
29
Floating Point
Number with decimal digits Used for representing continuous data Require more computer storage space e.g.: precipitation, slope, DEM
30
Attribute Data Measurement Scale
Lowest to Highest - Nominal - Ordinal - Interval - Ration
31
Nominal
data are qualitative only, no computation possible
32
Ordinal
qualitative or quantitative, represent an order of the individuals
33
Interval
quantitative only a zero entry simply represents a position on a scale
34
Ration
Interval type with a meaningful zero entry a ratio of two data values can be formed so one data value can be expressed as a ratio of the other.
35
Metadata
The term refers to any data used to aid the identification, description, quality, reference information, entry information, distribution information and data authority, etc. of geospatial data.
36
Evolution of Vector Data Model by ESRI systems
PC Arc/Info Workstation (1980s) ArcView (End of 1990s) ArcGIS 8 & 9 (2000s) ArcGIS 10.x (2010)
37
Based on the georelational data model, an Arc/Info Coverage has two components:
A set of graphic files for spatial data and A set of INFO files for attribute data. The label connects the two components through feature ID
38
Arc/Info Coverage Data Structure
“Coverage” is the name of a GIS data layer in ESRI Arc/Info data structure. “Coverage” maintains topological properties in spatial data structure Collection of multiple Coverage is called a workspace
39
A “Coverage” in Arc/Info data structure is like a Folder, that contain a number of files.
Some of the files represent spatial feature geometry, Some files for attribute data, and some others for holding other information, such as maximum spatial extent, annotation, projection parameter, etc.
40
Two Versions of Coverage
an arc (line) file, annotation for the line, a tic file.
41
Shapefile Structure
Also known as ESRI ArcView Shapefiles. Geographic features in a shapefile is also represented by points, lines, or polygons (areas)
42
File-based based data
collection of graphic and info files same file name but different extensions (suffixes)
43
What is a Geodatabase
Is an object-based data model
44
The Geodatabase model is a collection of objects, properties and methods held in
a common file system a Microsoft Access database or a multiuser relational database e.g.: Oracle, Microsoft SQL Server, or IBM DB2
45
Feature Geometry In Geodatabase Point Feature
represented as single point or multi-point set of points
46
Feature Geometry In Geodatabase Polyline Feature
a line or a set of line segments, which may or may not be connected. e.g., user-shaped, curves, single / multi part
47
Feature Geometry In Geodatabase Polygon Feature
a set of one or many rings. a ring is a set of connected, closed, non-intersecting line segment. e.g., single / multi-part
48
Feature Class
Stores spatial data of the same geometry type Can be broken down into subtypes
49
Feature Dataset
Stores feature data classes that share the same coordinate system and area extent Feature classes included in a feature dataset ‘share’ topological relationships with each other Contains different theme layers, multiple dataset
50
Standalone feature class
Feature class that is not included in a feature dataset