Goals

This project is intended for information about and discussion how different programming languages are used in OSG software and what's available.

A specific interest for this project is to discuss how to enhance or achieve interoperability between libraries and tools written in different languages.

Audience

The contents are inteded for

beginning developers who are looking for basic information and pointers,
more seasoned developers who may not be well informed what's happening among languages they are not using, and
educators, who teach GIS programming and software development.

Interoperability

Use a language-independent standards-based information exchange mechanism, examples: http, W?S, XML-RPC
Maintain functionally equivalent libraries in two languages (JTS/GEOS)
Use Swig (GDAL, GEOS, GRASS, OSSIM)
Use .Net/mono (MapWindow)

Using Swig

How to achieve a robust mapping between memory management in low level language and in the interface language?

The problem is that in low level language the programmer usually explicitly deletes an object (smart pointers are an exception) and in a scripting language the programmer usually doesn't. The binding should somehow make sure that all low level objects exist as long as they are needed but not longer. Different schemes exist in both worlds for managing this, but their interaction may make the problem even worse, especially when a single binding code (swig) should take care of it.

This problem exists for example in GDAL, where things like

band = gdal::Open('filename').GetRasterBand(0)

usually result in bad objects.

C, C++, Fortran and other "low-level" languages

Many fundamental libraries are written in these languages
These can be wrapped efficiently with Swig

An example of this is the OSSIM library. OSSIM is written in C++ and focuses on high performance remote sensing and image processing of many, very large files. It also supports parallel processing mechanisms under the hood. SWIG bindings for Java (JOSSIM) and upcoming bindings for Python (POSSIM) will enable programmers in these libraries to access powerful processing capabilities through the Java and Python scripting languages.

C# and .Net

See DotNetProjects

Java

Java is a hybrid in the sense that it's used for fundamental libraries but it is also often preferred also for its high-level features (strong OO). Notable Java OSG include JTS, uDig, ...

Scripting languages

Scripting languages take the burden of memory management and compilation and linking off from the developer.

Perl

Geo modules in CPAN: http://cpan.org/modules/by-module/Geo/
Cartography modules in CPAN (there's only one): http://cpan.org/modules/by-module/Cartography/
Geography modules in CPAN: http://cpan.org/modules/by-module/Geography
Tree::R module in CPAN: http://cpan.org/modules/by-module/Tree/
GDAL/OGR has Swig-based Perl interfaces: http://map.hut.fi/gdal-perl/
GRASS has prototype Swig-based Perl interfaces: (http://download.osgeo.org/grass/grass6_progman/swig/)
Discussion about gdal, ogr, some Geo, and Gtk2::Ex::Geo modules: http://map.hut.fi/PerlForGeoinformatics/
Geo-Perl email list: https://list.hut.fi/mailman/listinfo/geo-perl
FreeGIS database on Perl: http://freegis.org/database/?cat=24

todo:

Perl bindings for GEOS

PHP

PHP stands for "PHP: Hypertext Preprocessor" and is a widely-used Open Source general-purpose scripting language that is especially suited for Web development and can be embedded into HTML. Its syntax draws upon C, Java, and Perl, and is easy to learn. The main goal of the language is to allow web developers to write dynamically generated webpages quickly, but you can do much more with PHP. (from the PHP manual preface)

CartoWeb: http://cartoweb.org/
Chameleon: http://chameleon.maptools.org/index.phtml
Mapbender: http://www.mapbender.org
ka-map: http://ka-map.maptools.org/
PHP/MapScript (UMN MapServer): http://mapserver.gis.umn.edu/docs/reference/phpmapscript-class/class-intro/
kvwmap: http://kvwmap.sourceforge.net/
GRASS: http://grass.itc.it/spearfish/php_grass_earthquakes.php

Python

Python Cartographic Library: http://zcologia.org/cartography
GRASS has prototype Swig-based Python interface: (http://mpa.itc.it/markus/grass61progman/swig/)

R

R is a language for statistical computing.

R spatial: http://r-spatial.sourceforge.net/
GRASS-R interface (spgrass6 class): http://grass.itc.it/statsgrass/

Ruby

FreeGIS database on Ruby: http://freegis.org/database/?cat=63

Programming Languages Project

Contents