ppt2 Flashcards

(65 cards)

1
Q

A system for capturing, storing, checking, integrating, manipulating, analyzing and displaying spatial data

A

Geographic Information System

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2
Q

GIS process

A
  1. Input: spatial data
  2. GIS/mapping software: analysis and data visualization (does not come with its own data)
  3. Output: new data and maps
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3
Q

Theoretical overview

A
  • GIS creates real world spatial data
  • As digitized themed data “layers”
  • Assembled in any combination
  • And overlaid for analysis
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4
Q

desktop softwares

A

ArcGIS Pro
QGIS

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5
Q

GIS Applications

A

View imagery
Create 3d models
Create maps
Conduct analysis

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6
Q

e.g. points, lines and polygons

A

vector

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7
Q

Composed of coordinates

A

vector

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8
Q

most common vector file format

A

shapefile

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9
Q

Actually a collection of several different files with different extensions

A

shapefile

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10
Q

Rows represent unique geometries (e.g. state polygons)
Columns represent a number of variables (theoretically infinite)

A

vector Backend database/Attribute table

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11
Q

e.g. row and column matrix

A

Raster

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12
Q

Composed of pixels

A

Raster

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13
Q

Includes aerial photographs, digital elevation models, and scanned maps (all constructed from pixels)

A

Raster

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14
Q

Each cells has its own value
Raster can only symbolize one variable at a time

A

frontend cell matrix

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15
Q

Rows represent unique values (e.g. 1m, 2m, 3m, etc.)
Columns have specific variables

A

raster Backend database/Attribute table

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16
Q

Includes common image formats

A

raster file extensions

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17
Q

spatial data types

A

vector
raster
tabular

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18
Q

Can be transformed into spatial data in two ways

A

tabular data

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19
Q

tabular data can be transformed into spatial data through:

A

joining and geocoding

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20
Q

joining methods

A

Use a shared unique identifier to match up tabular data to spatial’s data attribute table

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21
Q

geocoding methods

A
  • Use lat/lon coordinates in table to plot as points on map
  • Use addresses to plot locations based on a street network
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22
Q

geodatabases

A

ESRI/ArcGIS storage system

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23
Q

a collection of geographic datasets of various types held in a common file system folder

A

ESRI/ArcGIS storage system

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24
Q

advantanges of ESRI/ArcGIS storage system

A

larger files size limits,
faster processing time when using
analysis tools

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25
disadvantages of ESRI/ArcGIS storage system
can only be opened in ESRI software
26
common associated workflows
- satellite remote sensing - 3d modeling and photogrammetry - statistical analysis - visual design
27
Processed imagery as rasters or vectors (e.g. enhancements, classifications)
Satellite remote sensing
28
Raw Imagery for basemaps
Satellite remote sensing
29
Processed imagery as rasters or models (e.g. orthophotos, DEMS, 3D models)
3d modeling and photogrammetry
30
Attribute tables for running analyses, (e.g. regressions, predictions)
Statistical analysis
31
Maps for improved design aesthetics
Visual design
32
characteristics of spatial data
generalization abstraction spatial resolution/scale temporal resolution
33
The most detailed data available is not suitable for all purposes (or often a manageable file size)
Generalization
34
The process of reducing data from its complete state to what is necessary for use and presentation
Abstraction
35
Suitable data geometry is dependent on scale e.g. roads are polygons at local scale but lines at national scale
Spatial resolution/scale
36
Searching for spatial data
-Look in general GIS data repositories -Search the internet -Include “gis”, or “data” in the search terms Search by location and/or topic Search for country statistical agencies or open data sites (large cities often have their own open data portals as well) -Contact GIS departments, universities, or researchers in your area of interest. -Search for articles on your topic and look for the sources of the data.
37
Used to learn how and why the data were created, access restrictions, columns in the attribute table, and much more!
metadata
38
data visualization principles
cartography maps
39
is the art and science of making maps
Cartography
40
always simplifications of reality, which makes them helpful when making decisions or explaining patterns
Maps
41
designed by people (who have intentions), so we have to create them responsibly
Maps
42
three key questions
1. who wants the map 2. where will it be seen 3. what is its purpose
43
map design process
-Start with assembling the data from multiple sources -Choose data, analyses, and symbolization -Insert the title, legend, north arrow, scale bar and labels
44
Provides accessible color options
Colorbrewer
45
Commonly used map type
Choropleth
46
These use different shading and coloring to display the quantity or value in defined areas
Choropleth
47
choropleth map choices
-number of classes -classification method
48
Aggregates data for display More classes=more variation
number of classes (choropleth)
49
Data classification is how data is arranged into separate classes
Classification method
50
Classification method major types
Equal intervals Quantile Natural breaks Defined intervals
51
classes have equal ranges
Equal intervals
52
classes have equal counts
Quantile
53
optimizes class variation
Natural breaks
54
you define classes
Defined intervals
55
Is about developing a balanced arrangement
Map layout design
56
GPS
global positioning system
57
Etched the lay of the land in clay tablets
Babylonians 2300 BC
58
started making maps using wooden blocks
15th century
59
TIGER:
Topologically Integrated Geographic Encoding and Referencing
60
Outsourcing tasks to a large group of people often through an appeal on the internet
Crowdsourcing
61
A free wiki map that allows users to edit and add geographic data
Open Street Map
62
is an open source software application which utilizes user-generated reports to collate and map data.
USHAHIDI
63
Text message network used in the Haiti earthquake
4636 effort
64
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