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REVIEW

Date post: 07-Jan-2016
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REVIEW. Scale. A ratio between actual distance on the ground and length on the map 1/10,000 = 1 inch on the map/10,000 inches on the earth. Large-scale=more detail, cities 1 inch/5miles. Small-scale=less detail, regions, continents 1 inch/150 miles. Maps. Mercator Projection - PowerPoint PPT Presentation
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REVIEW
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Page 1: REVIEW

REVIEW

Page 2: REVIEW

Scale• A ratio between actual distance on the ground and length

on the map• 1/10,000 = 1 inch on the map/10,000 inches on the earth

Small-scale=less detail, regions, continents

1 inch/150 miles

Large-scale=more detail, cities1 inch/5miles

Page 3: REVIEW

Maps

• Mercator Projection– 1569, used for

navigation to plot straight lines based on compass directions

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Maps

• Robinson Projection– Shows better shape, but lacks directional utility

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Maps

• Goode’s interrupted projection– Minimizes specific distortions, but distance

and direction distorted

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Maps• Cylindrical

Planar

• Conic

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Maps

• Contour Lines – Isolines connect points of equal or constant value (temperature, elevation, culture regions)

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Regions

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Regions

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Regions

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Regions

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Regions

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Regions

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Regions

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Regions

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Stats – Basic Geography• Largest land area

• Smallest land area

• Largest Population

• Smallest Population

• Highest Density

• Lowest Density

Vatican City, Monaco

China; 1.3 billion

Vatican City; 920

Monaco

Mongolia

Russia

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Stats - Population• Highest Birth Rate

• Lowest Birth Rate

• Highest Death Rate

• Lowest Death Rate

• Highest NIR

• Lowest NIR

Niger; 51.45/ 1000Latvia; 7.8/ 1000

Ukraine; -0.7%

Botswana; 33.6/ 1000

Kuwait; 2.4/ 1000

Mali; 3.3%

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Stats - Population

• Highest Infant Mortality

• Lowest Infant Mortality

• Life Expectancy– Highest male/female– Lowest male/female

Sierra Leone, 158/ 1000Afghanistan, 163/ 1000

Iceland, 1.3 /1000Sweden, 2.5/100

Swaziland; 33, 34

Switzerland; 79, 84

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Urban• Highest % Urban

• Lowest % Urban

Development

• Highest Literacy– Male/Female

• Lowest Literacy– Male/Female

Kuwait, 100%Singapore, 100%

Core; 100%

Burundi, 10%

Burkina Faso; 31%, 13%


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