Chapter 9 - GIS Fundamentals Final

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GIS Fundamentals
Chapter 9
Vector data analysis
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1

Define and give examples of local, neighborhood, and global spatial operations

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2

Describe selection operations

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3

Describe set and boolean algebra

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4

Write the simplest boolean expressions that results in the grey area selections (see 9.4 of page 431)

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5

Write the simplest boolean expressions that results in the grey area selections (see 9.5 of page 432)

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6

Perform the following reclassification: (see 9.6 on page 433)

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7

Perform the following reclassification: (see 9.7 on page 433)

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8

Reclassify the following polygons, according to the column area, into small (<18000), medium (18000 to 45000), and large (>45000). (see 9.8 on page 434)

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9

List and describe three different classification methods

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10

What is the modifiable area unit problem (MAUP)? Why is it important? What is the zone effect, and what is the area effect?

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11

What is a dissolve operation? What are they typically used for?

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12

Perform a dissolve operation on the variable Type for the layer depicted below: (see 9.12 on page 435)

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13

Select the most appropriate characteristics for the buffer below. Is it simple, multidistance, or variable distance? Does it retain or dissolve intersections? Is it interior or exterior? (see 9.13 on page 435)

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14

9.14 see page 436

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15

9.15 see page 436

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16

How are raster proximity functions different from vector proximity functions?

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17

Describe the basic concept behind layer overlay

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18

Why are output features in vector overlay typically set to the minimum dimensional order (point, line, polygon) in input features?

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19

9.19 see page 437

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20

9.20 see page 437

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21

9.21 see page 438

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22

9.22 see page 438

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23

9.23 see page 439

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24

9.24 see page 439

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25

What is the silver problem in vector layer overlay? How might this problem be resolved?

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26

9.26 see page 440

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27

9.27 see page 440

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28

Describe/define network models. What distinguishes them from other spatial or temporal models?

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29

What are the common uses for network models? Why are these models so important?

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30

9.30 see page 441

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31

9.31 see page 441

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32

9.32 see page 442

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33

9.33 see page 442

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