GIS Final

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43 Terms

1

Local raster operations

Changing the values of individual raster cells.

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2

Zonal statistics

Calculates statistics on values of a raster within the zones of another dataset.

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3

Map algebra

Combining map layers using mathematical or statistical operations, also known as raster map overlay.

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4

Neighborhood raster operations

Spatial filtering used to improve the quality or appearance of raster grids.

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5

Low pass/frequency filtering

Used to smooth out local details and emphasize general trends.

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6

High pass/frequency filtering

Used to enhance edges and extreme values.

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7

Slope

In 2D, slope represents the Y differences divided by the X differences between two points; in 3D, it's calculated using a raster cell's neighborhood.

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8

Aspect

The direction that slope faces, measured in degrees.

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9

DEM

Digital Elevation Model; a type of raster data representation of Earth's surface that provides elevation information.

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10

Hill shading

Drawing shadows on a map to simulate sunlight over terrain, creating a 3D effect.

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11

Triangulated Irregular Networks (TINs)

A type of GIS data representing geographic spaces as contiguous triangles, typically in 3D vector format.

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12

Spatial interpolation

Using points with known values to estimate values at other points.

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13

Nearest-neighbor interpolation

Assumes that an unknown point shares the values of its nearest control point.

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14

Thiessen polygons

Voronoi Diagrams; each polygon contains one point, closer than any point in other polygons.

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15

Inverse distance weighting

Assumes a variable's value at an unsampled point is more influenced by nearby known points.

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16

Mode

Most common value in a dataset.

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17

Median

The middle value of an ordered dataset.

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18

Mean

Sum of all values divided by the total number of values in the dataset.

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19

Standard deviation

Shows how much the data varies around the mean.

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20

Statistical distributions

Used to model spatial variability of geographic .

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21

Centroid/mean center

Measure of the center of a geographic distribution, also known as the center of mass.

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22

Median center

Minimizes the distance to all other features as a measure of central tendency.

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23

Standard distance

Measures how features are concentrated or dispersed around the mean center.

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24

Spatial Pattern; Random

Neither clustered nor dispersed.

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25

Spatial Pattern; Clustered

Points are concentrated in groups.

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26

Spatial Pattern; Dispersed

Points are scattered across the distribution and not located nearby each other.

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27

Average nearest neighbor analysis

Describes the overall distribution of a set of points.

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28

Spatial autocorrelation

Measures spatial dependency of geographic data.

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29

Tobler’s First Law of Geography

"Everything is related to everything else, but near things are more related than distant things."

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30

Moran’s I test

Measures overall spatial autocorrelation in a GIS dataset with values from -1 to +1.

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31

Nodes

Represent points or locations in a GIS network, such as intersections.

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32

Edges

Represent the connections or paths between nodes in a GIS network.

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33

Shortest path analysis

Determines the least cost path between nodes using edge weights.

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34

Geocoding

The process of finding a geographic location from an address or text.

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35

Visual hierarchy

Organizes the content of a map to visually communicate order and importance.

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36

Visual cues that create visual hierarchy

Size, position, figure-ground, and color that help in quickly perceiving important information.

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37

Visual variables

Size, shape, color, shade, and pattern elements used in map design.

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38

Figure-ground

Differentiates between objects that stand out (figures) and the background (ground).

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39

Color perception

The human brain perceives colors differently based on context; color choice is crucial.

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40

Colorblind-safe color schemes

Color schemes that are accessible for individuals with red-green color blindness.

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41

Critical map reading

Analyze maps beyond surface level, considering the author's intent and choices.

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42

Ethical implications of geospatial technology

Concerns about personal data trails and potential misuse of information.

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43

GIS code of ethics

Guidelines concerning obligations to society, employers, colleagues, and individuals in society.

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