The bug is a critical part of our lives. Without her we would be stranded on a Maine-land peninsula with the seals.

This is the Otter house. Mila and Liam go there on fridays to socialize with some of the local kids. When we go and pick them up they refuse to leave. Mila is saying so many words in english. Today she said 'this is papas hat' and 'dinnnnnnner!'

Mum Mila and I are on the beach in front of their house.

Pat and Anne are on their way to graduation. Pat is a assistant professor in mathematics and Anne is a massage therapist and personal coach.

Concerning MapServer config files there is a lot of grunt work necessary to configure a new set of data using an existing map design. The map file is just one part of the configuration. One needs to set up query templates and initialization files. The majority of this work can be done by using some simple tools for reading shape files.

find /cygdrive/c/GIS/MarionCoIL -name "*shp" > shapefiles.txt

This find command gives us a list of all shape files in a given directory. We want to find all the attributes for each shape file so we use the ogrinfo command.

ogrinfo -summary C:\GIS\MarionCoIL\GISData\ALI Census > Census.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\ALI Tiger > Tiger.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\Delivery Streets_Geo > Streets_Geo.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\Delivery Streets_Proj > Streets_Proj.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E Airports > Airports.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E centraliadissolve > centraliadissolve.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E clippedstreets > clippedstreets.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E Hydrology > Hydrology.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E JeffersonCounty > JeffersonCounty.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E landmarks > landmarks.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E Rail > Rail.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E tgr17121cty00 > tgr17121cty00.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E tgr17121plc00 > tgr17121plc00.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E TigerRoads > TigerRoads.txt
ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E WashingtonCounty > WashingtonCounty.txt
ogrinfo -summary ogrinfo -summary C:\GIS\MarionCoIL\GISData\NAD83E Water > Water.txt

The above script will write a file for each shapefile containing the attributes. The following is an example of the output.

INFO: Open of `C:\GIS\MarionCoIL\GISData\NAD83E'
using driver `ESRI Shapefile' successful.

Layer name: Hydrology
Geometry: Line String
Feature Count: 2238
Extent: (752169.261907, 658660.185483) - (881047.118353, 786642.635521)
Layer SRS WKT:
PROJCS["Custom",
GEOGCS["GCS_North_American_1983",
DATUM["North_American_Datum_1983",
SPHEROID["GRS_1980",6378137,298.257222101]],
PRIMEM["Greenwich",0],
UNIT["Degree",0.017453292519943295]],
PROJECTION["Transverse_Mercator"],
PARAMETER["False_Easting",984250],
PARAMETER["False_Northing",0],
PARAMETER["Central_Meridian",-88.33333333333333],
PARAMETER["Scale_Factor",0.999975],
PARAMETER["Latitude_Of_Origin",36.66666666666666],
UNIT["Foot_US",0.30480060960121924]]
TLID: Integer (10.0)
FNODE: Integer (8.0)
TNODE: Integer (8.0)
LENGTH: Real (10.5)
FEDIRP: String (2.0)
FENAME: String (30.0)
FETYPE: String (4.0)
FEDIRS: String (2.0)
CFCC: String (3.0)
FRADDL: Real (11.0)
TOADDL: Real (11.0)
FRADDR: Real (11.0)
TOADDR: Real (11.0)
ZIPL: String (5.0)
ZIPR: String (5.0)
CENSUS1: String (1.0)
CENSUS2: String (1.0)
CFCC1: String (1.0)
CFCC2: String (2.0)
SOURCE: String (1.0)

We are only interested in the end of the file so we use grep with a regular expression to get only the lines containing attribute names.

grep -e ": [Integer\|String\|Real].*([0-9]*\.[0-9]*)" Hydrology.txt

This results in the following output.

TLID: Integer (10.0)
FNODE: Integer (8.0)
TNODE: Integer (8.0)
LENGTH: Real (10.5)
FEDIRP: String (2.0)
FENAME: String (30.0)
FETYPE: String (4.0)
FEDIRS: String (2.0)
CFCC: String (3.0)
FRADDL: Real (11.0)
TOADDL: Real (11.0)
FRADDR: Real (11.0)
TOADDR: Real (11.0)
ZIPL: String (5.0)
ZIPR: String (5.0)
CENSUS1: String (1.0)
CENSUS2: String (1.0)
CFCC1: String (1.0)
CFCC2: String (2.0)
SOURCE: String (1.0)

Entrepreneurs

One way to make a living in Open Source is to create a proprietory format based on Open standards with proprietory extensions. Here is an example. You modify and build a custom portal from an Open Source portal. Your tool creates JSR-168 or JSR-286 war files (open standard) with proprietory extensions. Give it a .portal file suffix. The majority of the format respects the portlet standard and the extensions make it proprietory. With some modifications from a professional it can become standard therefore interesting to the Free Software Community.

I am working on a funded project for government emergency response management in the united states. There is an early open source version of this, http://www.mapimage.com/openaddress.org/. It is derived from MapServer and MapTools software.

I have contributed a MapServer integration project to the Apache Portals project. The source code is here, http://svn.apache.org/repos/asf/portals/bridges/trunk/mapserver. The documentation is here, http://wiki.apache.org/portals/MapServerPortlet.

I studied general geology and computer science leading me to a career as a independent consultant. My products include portals, internet mapping apps, xml utilities, database tools, development and compile platforms derived primarily from Apache projects.

The Java platform is my preferred development environment although I am also a competent database and Linux system administrator. I have been programming in Java for 8 years and have been working with open source software for 5 years.

Squeezing the Dojo Toolkit and AndroMDA into Apache Portals Jetspeed 2

Apache Portals Jetspeed is a component based Enterprise Portal Server implementing the JSR-168 Portlet Standard. The Dojo Toolkit is an Ajax ready rich client interface for creating Web 2.0 pages. AndroMDA is a code generator that make using UML useful. When combined these three tools make data integration fun again. All stacked up in combination with the Apache httpd web server and Apache Tomcat and Apache Harmony to bring database Apache DB Derby cross platform web applications to the browser of your choice. This talk will demonstrating using an integrated Apache web platform with tight single sign on security to web applications running on the Internet.