gis Flashcards

1
Q

what is a buffer zone

A

based on the concept of proximity, at its simplest buffering creates two areas, one within a secified distance of a selected feature (value=1) and the other outside (value=0) a specified distance of a select feature (point, line or polygon)

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2
Q

what are some uses of buffer zones

A

protection zones, suitability zones, inclusion zones, sampling methods, neutral zones

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3
Q

what’s an overlay operation

A

combine the geometries and attributes of two features to create a new output.

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4
Q

what are the 4 overlay options and their purpose

A

Union-all of the data
Intersect- only those that intersect lol
Symmetrical difference- only 1 not both
Identity- All of A and only what B is in A

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5
Q

what is the boolean connectors

A

AND- intersect
OR- Union
XOR- symmetrical difference

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6
Q

what are the two types of distances

A

euclidean (straight line)
Manhattan (right angles)

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7
Q

what is shape measurement

A

how compact a polygon is perfect 1.0 is circle

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8
Q

what are the three clustering pattern analysis

A

clustered
uniform
random

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9
Q

what is Nearest neighbour analysis

A

the test that determines, clustered, uniform or random

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10
Q

what is ripples k function

A

a spatial statistic that determines whether a point pattern is random, regular or clustered over a range of distance. looks at many neighbours

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11
Q

what is spatial autocorrelation

A

a spatial statistic that measures the relationship among values of a variable according to the spatial arrangements of the values (comparing weights)high near high

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12
Q

What is G-statistic

A

a spatial stat that measures the clustering oh high and low values in a data set (hot spot and cold spots)

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13
Q

what’s an analysis mask

A

Limits analysis to cells that do not carry the cell value of “no data” e.g. could limit analysis to only certain cells that contain podzol soils, or elevation over 1000m asl

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14
Q

what is reclassification

A

raster. simplify cell values. 2 and 3 is forest reclassify to just 2 is forest

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15
Q

what are neighbourhood operations

A

involves a focal cell and a set of its surrounding cells. The surrounding cells are chosen for their distance and/or directional relationship to the focal cell.

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16
Q

what is a zonal operation

A

a raster data operation that involves groups of cells of same values or like features.

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17
Q

what’s GIGO

A

garbage in garbage out

18
Q

define quality

A

often simply defined as the degree of excellence

19
Q

define error

A

the physical difference between the real world and the GIS facsimilioe

20
Q

difference of accuracy and precision

A

the extent to which an estimated data value approaches its true value (accuracy)
the recorded level of detail of your data (precision)

21
Q

define Bais

A

systematic variation of data from reality

22
Q

define spatial resolution error

A

describes the features in a dataset that can be displayed or mapped (scale errors)

23
Q

define generalisation errors

A

is the process of simplifying the complexities of the real world to produce scale modelsand maps (trees bushes as vegetation)

24
Q

define completeness error

A

a complete dataset will cover the study area and the time period of interests in its entirety (how complete the dataset is)

25
Q

what 2 elements do all models have

A

have a set of selected spatial variables
there are functional or mathematical relationships between the variables

26
Q

what are the 4 models

A

Descriptive and prescriptive
deterministic and stochastic
dynamic and static
deductive and indicutive

27
Q

3 steps to a model

A
  1. define the goals of a model
  2. form a conceptual diagram of variables
  3. implementation and calibration testing accuracy and refining
28
Q

what is model validation

A

asses the models ability to predict under conditions that are different from those used on the calibration phase

29
Q

how does his help modelling

A
  1. can function as database management tool
  2. models can flip raster and vector
  3. can be moddeled itself then can export
30
Q

what’s the binary model

A

a GIS model that uses logical expressions to select features from a composite feature layer or multiple rasters.( yes no)

31
Q

limitations of map overlays on models

A
  1. are difficult to comprehend when more than four or five factors are involved
  2. do not allow for the fact that variables may not be equally important
  3. the descisions about threshold values are important. E.g.if population density is a criterion for locating an area, would the threshold be 400 or 427 or 530 or person/km squared
32
Q

what’s a siting analysis

A

siting analysis- determines if a unit area meets a set of selection criteria for locating e.g. a landfill, nuclear power plant, grocery store

33
Q

what is a index model

A

calculates the index value for each unit area and produces a ranked map based on the index values. Similar to binary in that both involve multicriteria evaluation and both involve overlay operations

34
Q

what is a regression model

A

relates a dependant variable to several independent (explanatory) variables in an equation, which can then be used for prediction or estimation

35
Q

what is a compatibility

A

data sets should be developed using similar methods of data capture, storage,manipulation and editing

36
Q

what is a applicability

A

the appropriateness or suitability of data for a set of commands, operations or analyses

37
Q

define a conceptual error

A

originate from the way we perceive and model the real world

38
Q

define operational error

A

are those errors introduced and propagated during the digitization process

39
Q

what are the four common manual errors

A

psychological errors (finding true centre)
Physiological errors (involuntary muscle spasms which creates random displacements)
Line thickness
Method of digitising

40
Q
A