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Vector Analysis
Spatial Analysis
Spatial Calculation
straight-line distance (use "ruler")
feature size
calculation in data table
may need to recalculate
e.g.: length, perimeter, area
Select by Location
feature selected based on SPATIAL relation to other features
compare two themes
features selected from TARGET layer ...
... based on features in SOURCE layer
examples
intersect
share a common point:
road segments intersecting streams = crossings
road segments intersecting fault lines
contain
features within other features:
stands containing wildlife trees
lakes containing islands
within a distance of
"within a buffer":
CMT's within 50m of new road
properties within 1km of schools
many others!!
Buffer
3 types:
single (simple) buffer
multi-distance
variable widths - defined by values in a field
can buffer both outside (typical) or inside of polygons
option to dissolve overlapping buffers
Overlay
combine two data layers (themes)
types of overlays
Clip [Extract]
area defined by 'clip overlay theme' (= cookie cutter = "mini me")
table contains only fields from input theme NOT clip theme
e.g. future cutblock & forest inventory
Intersect
area is where they overlap (= coincident = AND)
table contains all fields from both themes
e.g. landowners & forest
Union
area is the total area of both (= combined area = OR)
table contains all fields from both themes
e.g. fine text. soils & steep slopes
Update
updates features - 'overlay & replace'
fields in both layers have to match
e.g. fire/ logging on top of inventory
Erase
'overlay & eliminate'
fields from 'erase layer' not used
e.g. expropriate parkland from timberland
Data Mgmt
General
Merge
combines 2+ layers and makes a new 'combined layer'
e.g. combine all the buffers
Append
combines 2+ layers into an existing layer
e.g. add new cutblocks (CP 22) into existing
Generalization
creates a new "simplified" data layer
Dissolve
creates a new data layer
merge adjacent polygons based on common attribute
e.g. merge stand types that are old growth
new theme is a simplified (generalized) version of the original
Aggregate
ploygons within certain distance of each other
Smooth
more visually pleasing output
Simplify
removes small fluctuations in lines
Satial Join
database join: "key fields" (primary & secondary)
spatial join: coincident space (determines what records 'are attached' to each map feature)
e.g. bear dens <-- forest polygons
forest stand info is added to the bear den table
in DB talk we say ... destination <-- source
in spatial join we say ... target features <-- join features
Network Analysis
analyze movement through a network (e.g. road network)
analyses
point-to-point: shortest path vs quickest path
efficient routing
location-allocation
factors
length of segment
impedence on flow
impedence on turns
Attribute Analysis
Select by Attribute
simple query has 3 parts
field name
operator (relational)
value
complex query
>1 simple query
combined with Boolean operators
AND
OR
NOT
Relating Tables
'attaches' outside data "to the map" (i.e. its data table)
join
one-one
many-one
link
one-many
Arithmetic Calculation
apply formula to a numeric field
+ - / *, powers, trig, etc.
Statistics
sum, mean, min, max, std dev, histogram
ArcGIS: 'Statistics'
pop-up table
temporary
ArcGIS: 'Summarize'
you set which stats are generated
creates a data table
(Re)classification
Generalization / simplification of data
done via Symbology
temporary (vs Dissolve which is perm.)
schemes
natural break
quantile
equal interval
user defined
std deviation