gis lesson 2

47問 • 2年前

poo

通報

問題一覧

deals with handling spatial data for a particular purpose

data manipulation

extract single attribute from a multiple attribute polygon

map dissolve

3 types of map dissolve

centroid determination, data structure conversion, spatial operations

2 types of spatial operations

connectivity and neighbourhood operations

data may not be compatible with the user need or for further analysis

reclassification and aggregation

data may be at different resolution than needed by the user

reclassification and aggregation

involves increasing the size of the elemental unit in the database

spatial aggregation

for raster datasets only

spatial aggregation

regions of less than a specified size is ignored for a particular application

spatial aggregation

measurement tasks are

point, distance, area and perimeter, volume

measurement task that includes a point in polygon and enumeration of points inside the polygon

point

measurement task is linear and curvilinear

distance

measurement task is cutting and filling

volume

essential tools of statistical analysis

descriptive statistics, histogram or frequency counts, extreme values, correlation and cross-tabulation

displays the distribution of attribute value in a layer/region

histogram or frequency counts

calculation is straight forward in raster layer

histogram or frequency counts

deals with the discovery of general principles underlying the total phenomenon

data analysis

analytical tools and operations in GIS

data query, map algebra, distance operators, context operators, geoprocessing

asks a question about stored information associated to geographic features

database query

a syntax for retrieving and manipulating data from a relational base

structured query language

a language that defines a syntax for combining map themes by applying mathematical operations and analytical functions to create a new map theme

map algebra

a set of techniques wherein distance is the primary concern of the analysis

distance operators

a zone around a map feature measured in units of distance and time

buffer

useful for proximity analysis

buffer

polygons generated from a set of sample points

thiessen polygon

defines an area of influence around its sample point, so that any location is closer to that point than any of the sample points

thiessen polygon

also known as neighbourhood or local operators

context operators

generation of new polygon from points, lines, and polygon features in the database

buffer generation

methods of defining new values for locations using the values of other locations

context operators - neighbourhood functions

example of context operators

slope, hillshading, flow accumulation

operations in data manipulation and analysis

reclassification and aggregation, geometric operations

what are geometric operations

rotation, translation, scaling, rectification

map abstraction consists of

calculation of centroid, automatic contouring, proximal mapping, reclassification, conversion to grid

average location of a line or polygon

centroid

center of a mass of a two-or-three dimensional object

centroid

involve the compositioning or extracting multiple maps in order to create a new dataset

polygon overlay

for the purpose of area and measurement and multiple attribute modeling

mathematical overlay

conversion from one format of data structure to another

data structure conversion

mean, median, and variance values in a data layer

descriptive statistics

higher order statistical moments like coefficient of skewness and kurtosis

descriptive statistics

locating maximum or minimum values in an area

extreme values

comparison of spatial distribution of attributes in two or more data layer

correlation and regression

used to compare the attributes in two datalayers by determining the joint distribution of attribute

cross-tabulation

used in both categorical and continuous variables

analysis of variance

data may not be compatible with the user need or for further analysis

reclassification and aggregation

data may be at different resolution than needed by the user

reclassification and aggregation

data may not be compatible with the user need or for further analysis

reclassification and aggregation

nrc topic 6

nrc topic 6

gis lesson 3

gis lesson 3

gis lesson 1

gis lesson 1

gis lesson 4

gis lesson 4

fmh

fmh

tbm

tbm

ethics ch2

ethics ch2

ethics ch1.5-6

ethics ch1.5-6

ch1

ch1

ch1

ch1

topic 1

topic 1

問題一覧

deals with handling spatial data for a particular purpose

data manipulation

extract single attribute from a multiple attribute polygon

map dissolve

3 types of map dissolve

centroid determination, data structure conversion, spatial operations

2 types of spatial operations

connectivity and neighbourhood operations

data may not be compatible with the user need or for further analysis

reclassification and aggregation

data may be at different resolution than needed by the user

reclassification and aggregation

involves increasing the size of the elemental unit in the database

spatial aggregation

for raster datasets only

spatial aggregation

regions of less than a specified size is ignored for a particular application

spatial aggregation

measurement tasks are

point, distance, area and perimeter, volume

measurement task that includes a point in polygon and enumeration of points inside the polygon

point

measurement task is linear and curvilinear

distance

measurement task is cutting and filling

volume

essential tools of statistical analysis

descriptive statistics, histogram or frequency counts, extreme values, correlation and cross-tabulation

displays the distribution of attribute value in a layer/region

histogram or frequency counts

calculation is straight forward in raster layer

histogram or frequency counts

deals with the discovery of general principles underlying the total phenomenon

data analysis

analytical tools and operations in GIS

data query, map algebra, distance operators, context operators, geoprocessing

asks a question about stored information associated to geographic features

database query

a syntax for retrieving and manipulating data from a relational base

structured query language

a language that defines a syntax for combining map themes by applying mathematical operations and analytical functions to create a new map theme

map algebra

a set of techniques wherein distance is the primary concern of the analysis

distance operators

a zone around a map feature measured in units of distance and time

buffer

useful for proximity analysis

buffer

polygons generated from a set of sample points

thiessen polygon

defines an area of influence around its sample point, so that any location is closer to that point than any of the sample points

thiessen polygon

also known as neighbourhood or local operators

context operators

generation of new polygon from points, lines, and polygon features in the database

buffer generation

methods of defining new values for locations using the values of other locations

context operators - neighbourhood functions

example of context operators

slope, hillshading, flow accumulation

operations in data manipulation and analysis

reclassification and aggregation, geometric operations

what are geometric operations

rotation, translation, scaling, rectification

map abstraction consists of

calculation of centroid, automatic contouring, proximal mapping, reclassification, conversion to grid

average location of a line or polygon

centroid

center of a mass of a two-or-three dimensional object

centroid

involve the compositioning or extracting multiple maps in order to create a new dataset

polygon overlay

for the purpose of area and measurement and multiple attribute modeling

mathematical overlay

conversion from one format of data structure to another

data structure conversion

mean, median, and variance values in a data layer

descriptive statistics

higher order statistical moments like coefficient of skewness and kurtosis

descriptive statistics

locating maximum or minimum values in an area

extreme values

comparison of spatial distribution of attributes in two or more data layer

correlation and regression

used to compare the attributes in two datalayers by determining the joint distribution of attribute

cross-tabulation

used in both categorical and continuous variables

analysis of variance

data may not be compatible with the user need or for further analysis

reclassification and aggregation

data may be at different resolution than needed by the user

reclassification and aggregation

data may not be compatible with the user need or for further analysis

reclassification and aggregation