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Introduction to Maps topic 1.1 ap classroom (notes and flashcards)

Introduction

  • Kevin Turner teaches human geography and coaches girls soccer at Spanish River High School.

  • He loves to travel and has been to six of the seven continents.

  • He supports Arsenal, winners of the FA Cup.

1.1 Introduction to Maps

  • Two generalized kinds of maps: reference maps and thematic maps.

Reference Maps

  • Informational maps.

  • Used to get information.

  • Examples:

    • World map

    • Map of a city

    • Evacuation map of a school

    • Topographical maps (elevations of mountains)

    • Subway system map

    • Mall map

  • Provide information about physical and man-made features.

Thematic Maps

  • Tell a story about quantifiable data.

  • Data that can be numbered or measured.

  • Read the title to understand the map's story.

  • Focus of the course and the AP exam.

Ways to Display Geospatial Data on Thematic Maps:
  • Choropleth maps: use colors or shading.

  • Dot maps or distribution maps.

  • Graduated symbol maps: symbol size varies proportionally.

  • Isoline maps.

  • Cartograms.

Reference Map Example:
  • Glacier National Park map showing shuttle stops.

  • Purely informational, not thematic.

Thematic Map Types
Choropleth Maps:
  • Use colors or shading to show data density.

  • Darker color/shading usually indicates more quantity of the data.

  • Example: COVID-19 cases map.

    • Darker states like New York, Illinois, Florida, Georgia, Texas, California show higher cases.

    • Lighter states like Maine, Vermont, West Virginia, Montana, Wyoming show lower cases.

Dot Maps (Dot Distribution Maps):
  • Show distribution or spread of information.

  • One dot represents a specific quantity.

  • Example: Acres of corn harvested for grain (1 dot = 10,000 acres).

    • States starting with "I" (Indiana, Illinois, Iowa) show high levels of corn harvest.

  • Not ideal for showing density, as dots overlap in concentrated areas.

Graduated Symbol Maps:
  • Symbol size varies based on the quantity of measurable data.

  • Example: Number of plane emplanements (passengers boarding planes) at airports.

    • Larger airports (Atlanta, Dallas Fort Worth, LAX, Chicago O'Hare) have larger symbols.

  • Legend provides a scale for interpreting symbol sizes.

Isoline Maps:
  • Concentration areas are usually darker.

  • The lines indicate quantifiable data.

  • Every time a line is crossed, the value changes

  • Closer lines indicate rapid value change; farther lines indicate fairly flat value.

Cartograms:
  • Physical size changes according to the value of the data.

  • Not true to geographical size; proportional to the phenomenon being measured.

  • States are resized based on population.

  • Example: Census data population map.

    • States like Florida, California, Texas, New York appear larger; Dakotas and Montana appear smaller.

Practice Question:
  • Map of dairy farms in the United States (dot map).

  • Each dot represents approximately 10 dairy farms.

  • Possible questions:

    • Concentrations of dairy farms: Pennsylvania, Ohio, Indiana, Wisconsin (Green Bay Packer fans).

    • Areas with fewer dairy farms: Deep South, Texas, Desert Southwest, Mountain West, Great Plains.

Key Takeaways:
  • Maps are basic tools of geographers for asking and answering questions.

  • Identify the two main types of maps: reference and thematic.

  • Describe the characteristics of five kinds of thematic maps.

  • When presented with a map, ask:

    • What type of map is this?

    • What information is it showing?

    • What quantifiable data is represented?

    • Why was this type of map chosen?

1.1 Introduction to Maps Video 2

Data Analysis Skill

  • Taking data from the map to understand patterns using quantifiable geospatial data.

  • Geospatial Data: Data connected to a particular place on Earth.

  • Spatial patterns: measure distance, direction, clustered or dispersed, or represent changes in elevation.

Measuring Location, Distance, Direction

Absolute Measurement:
  • Quantitative measurements (numbers).

  • Examples:

    • GPS coordinates of Boca Florida.

    • Distance from Nashville to Denver.

    • Compass reading of 180 degrees.

Relative Measurement:
  • Qualitative measurements.

  • Depends on knowing the position of something else.

  • Examples:

    • House near the beach.

    • School is a short drive away.

    • On the other side of the store.

Patterns and Processes

  • Pattern: What you see, the "where" question.

  • Process: Explanation, the "why" there.

  • Economic, Social, Political, and Environmental (ESPN).

Describing Patterns:
  • Clustered: Grouped, nucleated, clumped, concentrated, agglomeration.

  • Dispersed: Distributed, scattered, spread out.

Types of Maps to use for data.
  • Choropleth map: an area of density or concentration.

  • Dot map: An area that's distributed or spread out

Other Possibilities:
  • Uniform pattern: evenly spaced out.

  • Randomized: no discernible pattern.

  • Elevation: Use isoline maps.

Examples:
Concentration of COVID Cases in Seminole County:
  • Isoline map with colorization.

  • Darker red areas indicate more cases.

Rural Health Hospitals:
  • Dispersed dots across rural areas (shaded gray) in Kansas.

  • Hospitals are approximately equidistant from each other.

Acadia National Park (Cadillac Mountain):
  • Isoline map showing elevation.

  • Closer lines indicate steeper terrain; farther lines indicate flatter terrain.

  • Road built on the flatter part of the terrain.

Practice Question:

  • Choropleth map: Percentage of women working in agriculture.

  • Question: Identify a country where more than 75% of women are working in farming (e.g., Madagascar, Mozambique, Chad, Niger).

  • Describe one obstacle from each of the following categories that may prevent women working and farming from achieving empowerment:

    • Economic.

    • Cultural.

    • Political.

Key Takeaways:

  • Big data is everywhere and use to get a competitive edge.

  • Identifying patterns on maps and in geospatial data is important.

  • Analyzing and understanding the "how" and "why" of data is valuable.

  • If you can think like a geographer, that's gonna be good for you.

1.2 Introduction to Maps Video 3

Map Projections

  • The earth is round with the only real way to accurately represent it is with a globe, but globes are not pocket sized.

  • Displaying the earth on a flat surface is called projection.

  • Taking the spherical shape of the earth, displaying it on a flat surface is called projection.

  • Maps get distorted in some way.

  • Conformal projection: Preserves shape but distorts size.

  • Equal area projection: Preserves size but distorts shapes.

Examples of Map Projections:

  • Mercator projection.

  • Gall-Peters projection.

  • Robinson projection.

  • Goode's projection.

Mercator Projection:
  • Lines of latitude and longitude meet at right angles.

  • Great for navigation.

  • Distorts size in polar latitudes (Greenland and Antarctica appear enormous).

Gall-Peters Projection:
  • Opposite of Mercator.

  • Stretches shapes, especially in Africa.

Robinson Projection:
  • Compromise projection.

  • Size and shape are better represented.

  • Flat at the top and bottom, curved on the sides.

  • Used in atlases to show data across the earth

Goode's Interrupted Homolosine Projection:
  • Combines equal area and conformal properties.

  • Interruptions in the oceans to better show the size and shape of land masses.

Practice Questions:

  • Question: The map above represents what kind of projection?

  • (Visual stimulus: Map with lines of latitude and longitude meeting at right angles, enormous Antarctica).

  • Answer: Mercator projection.

  • Question: Every map projection has some degree of distortion because…

  • Answer: A curved surface cannot be represented on a flat surface without distortion.

Key Takeaways:

  • All maps are selective of information.

  • Different projections have different uses.

    • Mercator's map is fantastic for navigation.

  • Maps from Goods might be really good to show thematic data all across the earth.