Los Blogs que leo .

Estos son algunos de los Blogs que suelo leer.
: : g e o r e f e r e n c i a s
About Geo-Infomatic by PK
AntholoGIS
Arke_Geomática
b l o g r a p h o s
Between the Poles
Bio and Geo Informatics
Blog IDEE v1
BostonGIS Blog
California Soil Resource Lab
CartoSIG
Fernando Quadro
Free Geography Tools
Fuzzy Tolerance
geofumadas
GEOGRAFIA PARA LLEVAR + podcast
geomaticblog.net
GIS in XML
James Fee GIS Blog
Jesus Loves GRASS
La Cartoteca
Slashgeo
The Curious GIS
Thinking in GIS

Pywps 3.0 and Ka-Map

Este es un video viejito de la implementacion realizada en mi proyecto de grado, lo habia subido al youtube,pero no lo habia enlazado al blog.
PyWPS
Ka-Map

Baterias Fail !!!

Venian con una linterna China que compre en carrefour !!

Liberado QGis v.1.0

Via la lista de OSGeo-Es me entero del lanzamiento oficial de la version 1.0 de QGis, dejo la nota de lanzamiento[1] en http://wiki.qgis.org/qgiswiki/PR_1.0_es, y el link para descargas[2]

--

[1]http://lists.osgeo.org/pipermail/spanish/attachments/20090125/e006b4a0/attachment.html
[2]http://download.qgis.org/downloads.rhtml

gvSIG

Interesante video sobre gvSIG

visto en el blog de Ismael Olea.

ogr2gui 0.5 released

Directo desde la fuente, acabo de recibir el siguiente mail, el cual contiene muy buenas noticias, inventis los desarrolladores de ogr2gui acaban de hacer publico el release 0.5 de su aplicación. en hora buena aqui encontraran toda la información relacionada.. http://www.inventis.ca/ogr2gui/ Code source ogr2gui_0.5_src.zip (525 Kb) ogr2gui_0.5_src.tar.gz (489 Kb) Exécutable (Windows) ogr2gui_0.5.zip (3.9 Mb) ogr2gui.exe (13 Mb) Documentation ogr2gui_0.5_doc.zip (215 Kb) What’s new in this version? the execution of the program without installer now supports batch processing support of BNA (Boundary File) file format -- Thanks, Myriam Benoit.

GML2PNG Process for PyWPS 3.0

How to : 1) Create a new pywps process into your : PYWPS_PROCESSES directory 2) Copy and paste the code bellow into a new gml2png.py file 3) Define the process into your __init__.py __all__=["gml2png"] 4) Thats All... + Test if gml2png is on ProcessOfferings http://localhost/cgi-bin/wps?service=wps&request=GetCapabilities&version=1.0.0 + Execute the process http://localhost/cgi-bin/wps?version=1.0.0&service=wps&request=execute&identifier=<strong>gml2png</strong>&datainputs=[data=http://localhost/tmp/wgs84_vallecauca_v.gml]&responsedocument=[pngresult=@asreference=true] + wait for your ProcessSucceeded response .. and check for the generated file into your defined : outputPath accessed over outputUrl .. # GML2PNG # Author: Andres Herrera <t763rm3n gmail com> # For: PyWPS 3.0.0 from pywps.Process.Process import WPSProcess import os class Process(WPSProcess): def __init__(self): WPSProcess.__init__(self, identifier = "gml2png", version = "0.1", storeSupported = "true", statusSupported = "true", title="GML2PNG", abstract="Converts a GML Vector File to Raster PNG File", grassLocation = True) self.dataIn = self.addComplexInput(identifier="data", title="Input data", formats=[{"mimeType":"text/xml"}]) self.dataOutPNG = self.addComplexOutput(identifier="pngresult", title="PNG Result", formats=[{"mimeType":"image/png"}]) def execute(self): self.cmd("g.region -d") out=self.cmd("v.in.ogr dsn=%s output=data" %\ (self.getInputValue('data'))) self.cmd("g.region vect=data") os.system("export GRASS_TRANSPARENT=true") self.cmd("d.mon start=PNG",stdout=False) self.cmd("d.vect data") self.cmd("d.mon stop=PNG") self.dataOutPNG.setValue("map.png") References: PyWPS , OGC, OGC WPS

GEO ... Sin Enredos ( Guia de PostgreSQL, PostGIS, MapServer, PHPMapScript).

En el post anterior indique una sorpresa, además de migrar los ejemplos de MFD, complemente un nuevo documento, agregue mejoras y ejemplos relacionados, con PostgreSQL, PostGIS, MapServer, MapScript, este manual esta escrito en Español, redactado de forma sencilla y explica paso a paso cómo adentrarse en el mundo de la información geoespacial en internet usando software de código abierto. El manual incluye un conjunto de ejercicios cuyos datos de partida y código se adjuntan en un fichero aparte del PDF. El contenido de la guía está completamente en Español y se caracteriza por tener una redacción informal que evita las definiciones complejas y busca en todo momento la claridad.

Descargar: DOCUMENTO Descargar: PACK DE EJEMPLOS Descargar: DOCUMENTO + PACK DE EJEMPLOS ----------------------------------------------------- Documentos Relacionados ( Versión Anterior: MFD ) Descargar: DOCUMENTO Descargar: PACK DE EJEMPLOS Descargar: DOCUMENTO + PACK DE EJEMPLOS Enjoy It !!

Migrados ejemplos MFD (MapServer for Dummies )

A peticiòn de varios usuarios he migrado los ejemplos en totalidad de la guia, MapServer for Dummies que hace un tiempo atras escribi, muy pronto colgare el archivo para ser descargado, acompañado de una gran sorpresa. Coming Soon!!

Transform Geometries on the fly with PostGIS

that's a dummy example: select the_geom as "Original (WKB)", astext(the_geom)as "Original (Text)", transform(the_geom,21891) as "WGS84 to Bogota (WKB)", astext( transform(the_geom,21891)) as "WGS84 to Bogota (Text)", transform(transform(the_geom,21891),4326) as "Bogota to WGS84 (WKB)", astext( transform(transform(the_geom,21891),4326)) as "Bogota to WGS84 (Text)" from foo
Result: Related links:

• PostGIS
• Spatial Reference
• EPSG:4326
• EPSG: 21891

PostgreSQL , PostGIS , PgRouting , Google Maps y Openlayers

Just a Demo Test using PostGIS , PgRouting , Google Maps y Openlayers, there is the sql querys. SELECT UpdateGeometrySRID('public', 'cali_ruteo', 'the_geom', 4326); ALTER TABLE cali_ruteo ADD COLUMN length double precision; ALTER TABLE cali_ruteo ADD COLUMN cost double precision; ALTER TABLE cali_ruteo ADD COLUMN reverse_cost double precision; ALTER TABLE cali_ruteo ADD COLUMN to_cost int4; ALTER TABLE cali_ruteo ADD COLUMN rule text; ALTER TABLE cali_ruteo ADD column source int4; ALTER TABLE cali_ruteo ADD column target int4; ALTER TABLE cali_ruteo ADD column oneway text; ALTER TABLE cali_ruteo ADD column id serial; ALTER TABLE cali_ruteo ADD column source_id int4; ALTER TABLE cali_ruteo ADD column target_id int4; SELECT assign_vertex_id('cali_ruteo',0.0001,'the_geom','gid'); UPDATE cali_ruteo SET length = length(the_geom); UPDATE cali_ruteo SET source=source_id , target=target_id UPDATE cali_ruteo SET cost=length(the_geom) UPDATE cali_ruteo SET reverse_cost=length(the_geom) UPDATE cali_ruteo SET reverse_cost=1000 WHERE oneway in ('YES'); CREATE INDEX source_idx ON cali_ruteo(source); CREATE INDEX target_idx ON cali_ruteo(target); CREATE INDEX geom_idx ON cali_ruteo USING GIST(the_geom GIST_GEOMETRY_OPS); DROP TABLE vertices_tmp; DELETE FROM geometry_columns WHERE f_table_name='vertices_tmp'; -------SQL TEST----------------------- -- # Shortest Path Dijkstra -- well known shortest path algorithm with exact result -- # Shortest Path A* -- shortest path algorithm with heuristics -- # Shortest Path Shooting Star -- shortest path algorithm for real road networks (cares about restrictions) with heuristics SELECT gid as id, source, target, cost, reverse_cost,x1, y1,x2, y2, rule, to_cost FROM cali_ruteo order by id; -- Calculamos el camino optimo entre 20 y 8 SELECT * FROM shortest_path_shooting_star('SELECT gid as id, source, target, cost, reverse_cost,x1, y1,x2, y2, rule, to_cost FROM cali_ruteo order by id',20,8,true,true); --Shortest Path Dijkstra SELECT rt.gid, AsText(rt.the_geom) AS wkt, length(rt.the_geom) AS length, cali_ruteo.id FROM cali_ruteo, (SELECT gid, the_geom FROM dijkstra_sp_delta('cali_ruteo',20, 8, 3000)) as rt WHERE cali_ruteo.gid=rt.gid; --// Shortest Path A* SELECT rt.gid, AsText(rt.the_geom) AS wkt, length(rt.the_geom) AS length, cali_ruteo.id FROM cali_ruteo, (SELECT gid, the_geom FROM astar_sp_delta('cali_ruteo',20, 8, 3000)) as rt WHERE cali_ruteo.gid=rt.gid; ---//Shooting-Star core function SELECT * FROM shortest_path_shooting_star(' SELECT gid as id, source::integer, target::integer, length::double precision as cost, x1, y1, x2, y2, rule, to_cost FROM cali_ruteo', 20, 8, false, false); ---//Wrapper function with bounding box SELECT gid, AsText(the_geom) AS the_geom FROM shootingstar_sp('cali_ruteo', 20, 8, 5000, 'length',true,true); --// Shortest Path Shooting* SELECT rt.gid, AsText(rt.the_geom) AS wkt, length(rt.the_geom) AS length, cali_ruteo.id FROM cali_ruteo, (SELECT gid, the_geom FROM shootingstar_sp('cali_ruteo',20,29000,3000, 'length', false, false)) as rt WHERE cali_ruteo.gid=rt.gid; --// Shortest Path SELECT * FROM shortest_path('SELECT gid AS id, source::int4, target::int4, length::double precision AS cost,length::double precision AS reverse_cost FROM cali_ruteo', 3, 7, true, true); --// Driving Distance Calculation SELECT * FROM driving_distance('SELECT gid AS id,source,target, length::double precision AS cost FROM cali_ruteo',10549,0.01,false,false); --// Traveling Sales Person (TSP) SELECT * FROM tsp('SELECT distinct source AS source_id, x1::double precision AS x, y1::double precision AS y FROM cali_ruteo WHERE source IN (20,56,3,5,23)', '20,56,3,5,23', 23); select ST_Extent(the_geom) from cali_ruteo

Carta a Papa Noel