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geographic information systems
connect spatial data and list (attribute) data to answer geographical questions and solve geographical problems
spatial data
distance, intersection, adjacency, containment, plots the location of things on a grid
identify common uses of digital mapping and GIS
Visualization, spatial modeling, planning and infastructure, social science and policy, environmental research, information technology (dtaat management, software development, geo hardware) like social media and google maps
Identify how humans employ cognitive psychology to understand geography (and our cognitive biases)
we have the ability to think about geography abstractly (we can go around the grass to get the duck because we know the duck won’t be able to see us from where it is, where a dog would just lunge at it), we can recognize shapes as geographic things
explain how culture shapes how humans understand geography
some maps don’t use longitude or latitude, some cultures prioritize religion so their maps reflects that like the medieval europeans, how people understand geography veries across different places and time, examples of polynesian navigation
identify multiple definitions of “map” and common types of maps
map definitions: a graphic representation of the environment, a geographical proposition/argument, it looks like one in structure, elements (relies on coordinate systems/grid of longitude and latitude)
types of maps
reference maps, thematic maps, icon
reference maps
topography maps, google maps, about multiple things simultaneously
thematic maps
USA map, focuses on one topic
icon
texas sticker (even though word isn’t there you know it’s Texas) like the #1 glove, USA sticker
actual shape of the earth
irregular oblate ellipsoid
read latitude and longitude including DMS and DD
latitude: lateral line/parallel lines (like the equator) that measure the distance between north and south poles, longitudes: vertical lines (like prime meridian) and measure the distance between east and west, lines of latitude are further apart at the poles than near the equator
you can measure latitude and longitude location by
DMS: degrees, minutes, seconds, DD: decimal degrees (positive or negative numbers to differentiate between north, south, east, and west) north and east (+), south and west (-)
discrete geographic feature
objects on earth with distinct boundaries (an object based view) ex: states, cities, countries, bodies of water (often human-made)
continuous geographic feature
entities on earth with continuous spatial existence: without distinct boundaries, ex: no clear boundaries like elevation and natural features
vector geographic data
points, lines, and polygon defined by lat/long (xy coordinates) and an attribute table, best for discrete phenomena
raster geographic data
a grid of cells over a space, each with an attribute value (aka a bitmap), best for continuous phenomena
consequences and political effects of mapping and GIS
cartographic partition, marking people as “others”, helping produce modern governments and governing
gerrymandering
re-districting plans so they favor a particular party
cracking
spreading voters in the opposing party across multiple distrcits to deny them a larger voting bloc
packing
concentrating voters of an opposing party into a single district to reduce their influence elsewhere
consequences of gerrymandering
majority voters doesn’t mean majority seats in congress, politicians in a gerrymandered seat tend to be more extreme and less open to compromise
critical map reading
being aware of how a map (and its author) attempt to persuade you
map proposition
not the topic but what the author wants you to believe or accept
ways mapmakers try to persuade you
something appears on the map or doesn’t, visual hierarchy (what do you notice first), graphic elements
cartographic scale
mathematical relationship between a distance on the map and the corresponding distance on the surface of the earth
representative fraction
works for constant unit 1:24,000, (1 inch on the map is 1 inch on the ground) must be the same unit on both sides
generalization
the process of reducing the amount of information on a map through change to the geometric representation of the feature, more of the map but less detailed
measure distances with a map’s scale
ex: if 1:50,000 then three inches multiply both sides by three, 150,000 inches convert inches to miles (63360 inches in a mile), divide the distance by the number of inches per mile, 150,000/63360= 2.367 miles
determine the scale if it is not labeled
step 1- put everything in the same units, step 2- divide by measured units on the map
Global Positioning System
GPS needs at least 24 satellites for world wide coverage, the alternatives for other countries like GLONASS (Russian) and BeiDou (Chinese) so they don’t rely on the US, owned by the military
gps has three parts
space segment (the satellite), control segment (fix malfunctions, clock error), user segment (you with a gps receiver)
how gps works
broadcasts a signal stating its own current time and location, synchronized to send signals at the same time, receiver gets the signal and records the time delay between when the signal was sent by the satellite vs when the receiver got the message, indicating distance from satellite to receiver, receiver uses space trilateration to calculate its location based on the time delays from multiple satellites
space trilateration
a method for determining positions using the geometry of spheres in 3 dimensions, uses at least 4 satellites and the distance between the receiver and each satellite, calculates absolute position (a fix)
systematic gps error
gps signals are weak, number of visible satellites, relativity, dilution of precision (the arrangement of satellites in the sky), quartz crystal clocks are relatively accurate but fragile receivers
random gps error
multipath error (signal from the satellite bouncing off objects like buildings), range noise- radio signals at a similar frequency, atmospheric effects like storms or atmospheric refraction
ways to improve gps accuracy
point averaging, gps augmentation
gps augmentation
using external information to improve accuracy of gps readings (ex: differential gps using two gps receivers, wireless networks, cellphone towers)
web maps
google maps, google earth, waze, etc
location based services (LBS)
social media that use location like dating apps, food apps, weather
assembling data that has been made possible through LBS
crowdsourcing/user-generated content- photos and videos and personal location data, volunteered geographic information- voluntarily added by users (ex: open street maps, following a gps)
hacking maps that has been possible through LBS
housingmaps.com, zillow, restaurants, basically LBS now- games, social media, tours
different motivations of different players in this field
targeted advertising, consumption, geographic filter bubble so you can see what interests you and things in your area
forms of surveillance and limited standards of privacy at work in these technologies
government surveillance, private surveillance, privacy standards and its limitations
government surveillance
phone call metadate, internet traffic, location of mobile devices
private surveillance
personal location information like geographic habits, where friends and family are, groups you’re a member of
privacy standards and its limitations
4th amendment which forbids unreasonable searches and seizure of people’s property, but does not protect you from companies, can’t use tech that isn’t generally used, can’t force you to give your personal information, cultural expectations of privacy
augmented reality
a view of a physical, real-world environment with additional computer generated sensory input such as sound, video, graphics, or gps data
feature classes
single set of gis data, appear as layers in the contents and on the map
layers
how the gis data is presented
non-spatial data
nominal, ordinal, interval data, ratio data
nominal data
named types/categories/classes, ex: an individuals race or ethnicity
ordinal data
hierarchy of types, ex: olympic medalists
interval data
number and the zero are arbitrary (can’t go below zero) ex: elevation
ratio data
numbers can’t have less than zero, ex: money, number of married people in nassau county
raster data (in depth)
a grid of cells, each cell has a value and says something about that location, no gaps in the data takes up more space,
vector data (in depth)
no clear border, can be gaps, individual longitude and latitude for each one of them, can store all four categories of data
raster data storage
rs_data.gdb (storage database), (feature class), formats: .grid raster format native to ESRI, .tiff, .jpeg
vector feature classes
multiple files or databases, demo_pro.gdb (storage geodatabase), polygon feature class (dice-like thing), point feature class (dot things), line feature class, table (no spatial data)
how many inches in a mile
63000
1 foot in inches
12 inches
1 meter in centimeters
100 centimeters
1 kilometer in meters
1000 meters
1 kilometer in centimeters
100,000 centimeters
1 mile in feet
5280 feet
receivers only receive data from
a satellite, never send it and every satellite knows where it is, how fast its moving, and what time it is
longitude is vertical lines, measure
how east or west you are