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Raster analysis can be performed at
cell level
Group of cells
cells within entire raster
output cell size is usually _____ than the largest cell size in the input raster
set equal to or larger
what limits the analysis to cells that do not carry a cell value of no data?
analysis mask
what manipulates raster layers using math-like expressions?
map algebra
what are the four types of map algebra operations?
local operation
Neighborhood operations
Zonal Operation
Global operations
local operations are also called?
cell-by-cell operations
local operation that creates a new raster by classification
reclassification
neighborhood operations involve?
a focal cell and a set of surrounding cells
zonal operations work with?
two raster data layers
one of the zonal operation layers is?
the defining zone layer
global operations create rasters where
each cell is a function of the entire grid
Euclidean distance tools measure
straight-line distance
two common types of terrain data are
raster based DEM
Vector Based TIN
errors in DEM are classified as
global error
Relative error
relative errors are fixed by
filling peaks and sinks in DEM data
slope identifies
max rate of change from each cell to its neighbors
output slope rasters can be calculated as
percent slope or degree of slope
when finding cell slopes how do you find the distance to a diagonal placed cell?
(d^2+d&2)^(1/2)
ArcGIS uses ____ to find slope
horn's algorithm
what factors influence slope and aspect measurement?
resolution
quality
Computing algorithm
Local topography
aspect is the?
directional measure of slope
how is aspect determined?
it starts at 0 degrees at North and moves clockwise
contour lines are
lines connecting points of equal elevation
contour interval is
vertical distance between contour lines
base contour is
contour from which contouring lines start
contour lines cannot
intersect
a viewshed analysis is
the portion of land visible from one or more viewpoints
viewshed analysis is based on
line of sight
a watershed is
the area of land that drains to one stream
watershed analysis refers to
using DEMs and raster data to delineate watersheds and derive stream networks
delineation can be based on
area based
Point based
a sink is
area surrounded by higher elevation values
it is _____ to find 1% of the cells in a 30 meter resolution DEM to be sinks
not uncommon
flow directions show
the directions water will flow out of cells in a filled elevation raster
flow direction is determined by
elevation of surrounding cells
in a flow direction how many cells can water flow into
only one
flow accumulation rasters show
the number of cells that will flow into it
in the strahler method, stream order increases when
streams of the same order intersect
which method is the most common stream ordering method
strahler
in the shreve method, stream order
adds when two streams intersect
points of interest in point-based watersheds are called
pour points or outlets
descriptive analysis describes
the location of data and how much the data varies
measures of location include
-mean
-median
-mode
the 1st law of geography is
"Everything is related to everything else, but near things are more related than distant things."
spatial autocorrelation is
the correlation of a variable with itself through space
measure of spatial autocorrelation describe
degree to which observations at spatial locations are similar
when nearby areas are more alike this is
positive spatial autocorrelation
when nearby areas are unlike this is
negative autocorrelation
random patterns exhibit
no spatial autocorrelations
Moran's I is used to indicate
spatial autocorrelation
Moran's I compares
the value at any one location to the value at all other locations
Moran's I > 0 indicates
positive autocorrelation
Moran's I = 0 indicates
random spatial pattern
G values calculate
clustering of high and low values in a data set
+Z values and significant p values indicate
clustering of high values
-Z values and significant p values indicate
clustering of low values
a local Moran's I is called
LISA
LISA compute _____ and _____ for every point
z score and p value
high I score indicates
feature is adjacent to features of a similar value
hotspot analysis is a
local G statistic
hotspot analysis computes
a z score for every feature
a cluster of high positive z values indicates
a cluster of high values or a hotspot
spatial interpolation is the process of
using points with known values to estimate values at other points
types of interpolations
global, uses every point
local, uses a sample data
exact, predicts a value the same as known value
inexact, predicts a value different the known value
deterministic, does not include possible error
stochastic, explains prediction of error
thiessen polygons or voronoi polygons assume
any point within polygon is closer to the polygon's known point than other known points
in IDW all estimated values
are between max and min known points
spline is a ____ interpolation method
exact
spine types
-regularized type
-tension type
spine values are not
limited to the min and max known points
the problem with spline is that
it can create steep gradients in data poor areas
line density calculates
magnitude per unit area from polyline features
point density calculates
what are the two methods of density estimation
-simple
-kernel
kriging interpolation includes
autocorrelation, the statistical relationship among measured points
kriging uses the concept of
lag distance
semi-variance is a measure of
the degree of spatial dependence between observations
a semivariogram plots
average semi-variance against the average distance
nugget is the
initial semi-variance where autocorrrelation is typically the highest
sill is the
point where variogram levels of, background noise
range is the
lag distance at which sill is reached
anisotropy is
the existence of directional differences in spatial dependence
stationary in kriging
local variation doesn't change in different areas of the map
ordinary kriging
-assumes there is no drift or trend
-uses fitted semi variogram
universal kriging
-assumes there is drift/trend between sample points
-typically uses 1st or 2nd order polynomial
the trend tool uses
a global polynomial interpolation that fits a smooth surface
first order polynomial
no bend
second order polynomial
one bend
third order polynomial
two bends
regression models relate
a dependent variable to a number of independent variables
binary models are
true or false
index models calculate
index value for each unit area
model builders are used
for simple programming where a series of simple operations are chained together
reasons to use modelbuilder
provide visual representation of data
can be reused and shared
easy to modify
more convenient than running tools individually
arcpy tells python
that you're going to work with some special scripting functions
pure networks are
only topology and connectivity
a flow network is characterized by
its topology and flow characteristics
types of network analyses
-direct path, finding shortest path
-optimum routing
-closest facility
a link refers to
a road segment defined by two end points
link impedance is the
cost of traversing a link
turn impedance is the
time to complete a turn