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QGIS (In class (Spatial statistics (raster dataset (nearest neighbor),…
QGIS
In class
network analysis toolbox
temporal analyses
comparing accessibility measurements
Spatial statistics
K-means clustering
raster dataset
nearest neighbor
Moran's I
clusters and outliers
Areal interpolation
PostGIS
SQL
concept
4.Spatial statistics - k-means clustering
5.Spatial statistics - raster data - nearest neighbor
3.Temporal analysis
6.Spatial statistics - Moran's I - clusters and outliers
2.Comparing accessibility measurements
7.Terrain analysis - raster datasets
1.Areal interpolation
tool
Colab
Qgis-Spatial statistics
Qgis-Network analysis
SQL
What is the problem
Qgis
is solving
History
South Africa, QGIS started
use transparency for layers
1970s, GIS started
GIS data
GIS Data type
vector data
lines
points
CRS:Coordinate Reference System
polygon
enclosed areas
share boundaries
Topology: spatial relationship (network analysis)
common problems
undershoots: lines does not meet
silvers: polygons does not meet
stored in coordinates
raster data
stored as a grid of values
remote sensing
aerial photography
satellite imagery
compute raster data
create from
good for continuously changing value
georeferencing
from map to place
feature
:
anything on a landscape
Attributes
:
text | number to describe feature
symbology
Graduated color: discrete
Continuous color
Table
:
numerical, string and date
row
:record
column
:field
Geometry:
GIS data storage
files
.dbf: attributes
.shx: index
.shp: geometry
creating a Shapefiles
Heads-up digitizing :
raster photo
Digitising table (puck):
device + paper map
Vector spatial analysis | geoprocessing
Buffers
Difference
Union
Intersection
Symmetrical difference
spatial Analysis | Interpolation 插值法
digital elevation
Triangulated Irregular Network (TIN) :避免狭长三角形
Inverse Distance Weighted (IDW) :距离越长权重越小
for a continuous map
A chart with tow columns: Arcgis and Qgis