7. Open Source GIS Project - Java Tribe
7
JTS, GeoTools, OGC Standards based Open Source Projects
LibrariesServer GIS
Desktop GIS
GeoTools
OpenMap
GeoServer JTS Topology Suite
(Geometry Engine)
JUMP and …
uDig
deegree
gvSIG
GeoAPI
OGC
Standards
GEOS: C
NTS: .NET
JSTS:
JavaScript
World Wind
shapely:
Python
8. GeoTools
8
Open source Java library that provides tools for geospatial data
Site : http://geotools.org/
License : GNU Lesser General Public License (LGPL)
Features:
open source Java library that provides tools for geospatial data.
9. uDig GIS
9
User-friendly Desktop Internet GIS
Site : http://udig.refractions.net/
License : Eclipse Public License(EPL) & Refractions BSD License
Features :
LocationTech Incubation Project
open source (EPL and BSD) desktop application framework, built with Eclipse Rich Client (RCP)
technology
10. GeoServer
10
Open source server for sharing geospatial data
Site : http://geoserver.org/
License : GNU GENERAL PUBLIC LICENSE(GPL) Version 2.0
Features :
OGC Web Services(WMS,, WMTS, TMS WFS, WCS, WPS, CSW…)
28. Output parameters
28
HTML, Shapefile(Vector), GeoTIFF(Raster), Temporary features(Geometry)
Parameter Type Target Display Type Constraints
BoundingBoxOutput BoundingBox Map Polygon Layer Temporary
ComplexOutput
SimpleFeatureCollection Map Vector Layer
GridCoverage2D Map Raster Layer
Geometry Map Vector Layer Temporary
Custom XML Text HTML
LiteralOutput
String Text HTML
Number Text HTML Number Format(6)
32. Spatial Statistics Processes
32
Category Functions
R&D
ArcGIS GeoDa SAGA
Crime
Stat
GeoTools uDig GeoServer
Spatial
Aggregation
&
Distributions
Descriptive
Spatial Aggregation o o o o
Basic Statistics o o o o o
Pearson Correlation Coefficient o o o o
Standardized Scores o o o 2015
Focal Location Quotients o o o 2015
Distributions
Mean Center o o o o o
Median Center o o o o o 2015
Central Feature o o o o
Standard Distance o o o o o
Standard Deviational Ellipse o o o o
Linear Directional Mean o o o o
Density Kernel Density Estimation o o o o o o
2015
33. Spatial Statistics Processes
33
Category Functions
R&D
ArcGIS GeoDa SAGA
Crime
StatGeoTools uDig GeoServer
Spatial
Pattern
Analysis
Global
Point Pattern
Analysis
(k) Nearest Neighbor Statistic o o o o o
Quadrat Method
G-function
F-function
Cuzick-Edwards Test (Case-Control)
(Network) K-function o o
Local
Point Pattern
Analysis
Nearest Neighbor Hierarchical Clustering o
Zonal Nearest Neighbor Hierarchical Clustering o
Spatial and Temporal Analysis of Crime o
K-Means Clustering (Kmeans) o o o o
Global
Spatial
Auto-
correlation
Univariate
Join Count Statistic o o o
Moran’s I Statistic o o o o o o o
Oden’s I Statistic
Geary’s C Statistic o o o o
Getis-Ord’s G Statistic o o o o o
Tango’s C Statistic o o o
Rogerson’s R Statistic o o o
Bivariate Bivariate Moran’s I Statistic o o o o
Local
Spatial
Auto-
correlation
Univariate
Local Moran’s I Statistic o o o o o o
Local G Statistic o o o o o
Local Tango’s C Statistic o o o
Local Rogerson’s R Statistic o o o
Bivariate Local Bivariate Moran’s I Statistic o o o o
Local
Spatial Clustering
Openshaw’s GAM
AMOEBA o o o
Kulldorff’s Spatial Scan Statistic
New
Algorithms
34. Spatial Statistics Processes
34
Category Functions
R&D
ArcGIS GeoDa SAGA
Crime
StatGeoTools uDig GeoServer
(Spatial)
Regression
Standardized Standardized regression o o
Global
Spatial Lag Model (SLM) o o
Spatial Error Model (SEM) o o
Local
Geographically Weighted Regression
(GWR)
o o
Expansion Method
Spatial
Interpolation
Deterministic
IDW (Inverse Distance Weighted) o o o o o
Spline o o
Geostatistical (Co) Kriging o o
Visualization
Analysis
Tools
Graph
Moran Scatter Plot o o
Histogram o o o
Box Plot(Box and Whisker) o o o
Scatter Plot o o o
Bubble Chart o o o
3D Scatter Plot o
Conditional Map o
Conditional Scatter Plot o
Conditional Histogram o
Parallel Coordinate o
Covariance Cloud o
Semivariogram o o
Correlagram o
Visualization
Standard Graphic Tools o o
Thematic Map o o o o
Graph
Tools
35. Spatial Statistics Processes
35
Category Functions
R&D
ArcGIS GeoDa SAGA
Crime
StatGeoTools uDig GeoServer
Utilities
Spatial Weight
Matrix
Creating(Network) Spatial Weight
Matrix
o o
Create Spatial Weight Matrix o o o o o 2015
Cross-Validation o
Pattern Creation
Spatial
Units
Area
Create Fishnet Grids o o o o
Create Hesagonal Grids o o o o
Create Thiessen Polygons o o o o o
Point
Random Points o o o o
Random Points per Features o o o
Calculation
Calculate Count o o o o
Calculate Areas o o o o o
Calculate Field o o o o o
Aggregation
Aggregate(Union) Polygons o o o o
Collect Events o o o o
Spatial Join o o o o
Point Statistics o o o o o
Buffer Statistics o o o o
Sum Line Lengths o o o
Conversion
Text File to Point Features o o o o o
Export Layer to Other Format o o o o o o