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| Re: [udig-devel] Seeking more direction from the uDIG community | 
Your emails just came in as I was finishing another LONG message, so I 
will send it first!
OK - that makes some sense and the snippets at geotools website are very 
enlightening.
Thing is - I still want to be able to access all types of tables and use 
them in my queries.  For example, non-spatial lookup tables (e.g. a 
table with just three columns: soil texture, landuse, runoff 
coefficient) so I can assign this hydrologic parameter (i.e. runoff 
coefficient) to polygons with "x" soil type and "y" landuse.  Once these 
are assigned to soil/landuse polygons, I need to do an aggregate query 
to determine the mean runoff coefficient from all polygons comprising a 
given watershed, then I could join this result to my watershed polygons 
and map it.
Or another example:  For the selected points (e.g. gauged weirs stored 
as postGIS point layer), show me, in tabular format (or just export to 
text file) all of the runoff events that occurred in May 2002.  This 
latter example would require some iterative coding procedure to identify 
runoff peaks and extract relevant non-spatial data.  However, it would 
allow me to access it via a spatial interface.
With uDIG, once I add a postGIS layer, I can see all of the tables 
(spatial and non-spatial) in my database in the catalog view.  If I 
understood how to access these tables and issue SQL statements through 
uDIG, and also perform some RecordSet manipulations through the uDIG 
client (with JDBC I guess) I think that is all I would need to do the 
above type manipulations.  It would be great if I could even access 
these postGIS tables in a wizard to create some custom tools that do 
these types of things.  My biggest hurdle right now is to understand my 
way around uDIG/eclipse since it's all new to me.
Murray
Jesse Eichar wrote:
This are very simple snippets.  Once you look at them consider a 
MathExpression that calculates a value based on two attributes in a Feature:
 FilterFactory fac=FilterFactoryFinder.createFilterFactory();
        
        MathExpression mathExpr = 
fac.createMathExpression(ExpressionType.MATH_ADD);
        mathExpr.addLeftValue(fac.createAttributeExpression("att1"));
        mathExpr.addRightValue(fac.createAttributeExpression("att2"));
        
        CompareFilter compare = 
fac.createCompareFilter(FilterType.COMPARE_GREATER_THAN_EQUAL);
        compare.addLeftValue(mathExpr);
        compare.addRightValue(fac.createLiteralExpression(200));
        
this example returns the feature if the sum of the attributes: att1 and 
att2 is greater than or equal to 200.
Jesse
On 10-Jan-07, at 1:06 PM, Jesse Eichar wrote:
You are right that you can write queries that reference multiple table 
at the same time.  You have to write a detailed query for one then do 
more queries based on that result.  If you are looking at a very 
complicated query then it is probably easier to make use of the DB 
connection.
For snippets on how to make Filters (the real power of a Query) take a 
look at:
http://docs.codehaus.org/display/GEOTOOLS/Snippets
and look at the examples under the Filters heading.
FYI.  A query currently permits you to restrict the Attributes 
retrieved from the table.  SO if you are only interested in the 
geometry or just the a couple of attributes it allows you to restrict 
the features retrieved to only have those attributes.  (Save bandwidth).
Jesse
On 10-Jan-07, at 12:58 PM, Murray Richardson wrote:
Thanks Jesse,
Are there some coded examples on working with geotools?  I don't see 
exactly how I can execute queries on multiple layers using QUERY and 
DATASTORE objects, although it's obviously possible from what you say.
I think getting the database connection and generating custom SQL 
would be most flexible, even if it's not very slick.  Also, in some 
cases I work with massive point files (posted a question about this a 
couple days ago) and I think it would be better to have spatial 
queries done on the server side. Similarly with time-series data it 
is often necessary to add temporary columns, iterate through the 
table several times and perform some calculations.  Given this I 
would happily take you up on some details to go this route, if it 
isn't too much trouble for you...
On the other hand, I may find this gets over my head fairly quickly 
and just have to implement these ideas without using uDIG for 
anything accept for viewing outputs!
Murray
Jesse Eichar wrote:
Right now a layer is a table in postGIS.  Using the QUERY object and 
a FeatureStore from the layer, it is possible to obtain features 
from that table with the attributes you specify in the query.  The 
types of queries that can be created can be very complex and can use 
many spatial operations.  However the datastore is primarily an 
Access/Query object that allows access to the features in the 
PostGIS (or more generally the data source what ever it may be) for 
viewing or direct editing.  There isn't an API for adding columns 
but there is one for creating new tables.
There is not yet an OPERATIONS API yet in Geotools, which is likely 
what you are looking for.  There are currently 2 ways to do what you 
require that I can think of:
1. In order to satisfy your requirements on the server side you 
would have to get the Database connection and generate custom SQL 
queries and execute them.
2. You can fetch the features to the client using the Datastore API 
and its queries, and do the calculations on the client and write the 
result back to the PostGIS, also using the Datastore API.
As far as I can tell you can do most of these steps using the second 
method.  As I said Queries (and Filters) can do some very 
complicated work including GeoSpatial and other "normal" queries.  
Intersection, differences, etc... can all be done server side using 
Filter and Query.
If you want more details on any of these steps let me know,
Jesse
On 10-Jan-07, at 9:32 AM, Murray Richardson wrote:
Hello Community,
Thanks for previous help you've offered.  I could use a bit more 
direction if possible to determine whether I should carry on with 
uDIG for a small project I am working on.  I'm finding the uDIG 
development learning curve to be a bit steep so far.
I've spent the last few days looking at uDIG (e.g. plugin tutorial 
and all the other online resources) and I am trying to figure out 
the simplest way to make use of powerful postgreSQL/postGIS 
capabilities. Previously I was concerned with constructing spatial 
queries on massive point data sets.  These processes are easy if I 
use a standard postgreSQL interface like psql or pgAdmin.  It seems 
like it should be a fairly simple task to construct plugins within 
uDIG that make use of these and other RDBMS capabilities through 
JDBC (if they don't already exist somewhere).  I read an entry on 
Cory Horner's community page about extending uDIG functionality to 
incorporate better RDBMS capabilities. I am most definitely 
interested in this because I am always faced with problems where 
this type of capability would be an asset.
To give you an idea of the type of functionality I am interested 
in, considering the following two examples:
(1) I am constantly using GIS and RDBMS capabilities separately 
(loosely coupled fashion)for information management in the field of 
hydrology. For example - I need to summarize the joint probability 
distribution of land-use and soil types to determine an average 
(lumped) runoff coefficient for nested watersheds (since runoff is 
a function of landuse and underlying soil properties, among other 
things).  I do this by exporting the polygon intersection of a 
soils layer, land-use layer and watershed layer to a RDBMS.  Then I 
use lookup tables to determine coefficients for individual 
landuse-soil combinations and use an aggregate query to determine 
the mean value for each watershed.  It is nice to then join the 
mean value back to the watershed layer and display this in a map.  
I also use the RDBMS to do reporting of the individual intersected 
polygons by watershed.  This type of analysis and reporting is 
standard in flood risk assessment and could be very easily 
streamlined with a tool like uDIG and postgreSQL.
(2) Storing and accessing spatial-temporal hydrology data is an 
emerging area of interest (consider the ESRI ArcHydro framework if 
you're familiar with it) and an interesting direction for Open 
Source GIS. For example, I would like to be able to store decades 
worth of hourly streamflow data for numerous gauged weirs within a 
postgreSQL DB and have this linked to a uDIG application that 
allows me to extract the streamflow data by (e.g.) clicking on a 
point station and entering a date.  The query result could be just 
exported to a text file for now. This capability would open the 
door to a whole range of interesting spatial-temporal hydrology 
applications (e.g. recession analysis, climate and streamflow data 
interpolation, hydrologic model parameterization).
Based on these two particular examples, could someone perhaps 
direct me on how to proceed to develop a very simple proof of 
concept for enhanced RDBMS capabilities within a GIS environment?  
Consider example 1 for instance - can I create a uDIG operation 
that is accessed by right-clicking on 3 highlighted layers (like 
the difference operation that is available when two layers are 
selected).  For my purposes I would like these to be postGIS 
layers.  The operation could then execute the postGIS intersection 
procedure, the attribute join and the aggregate function all within 
the postgreSQL service, and then map the results back to the 
watershed layer for display in uDIG?
I know this is a fairly specific question, but what it boils down 
to is, how do I access postGIS spatial operations as well as 
general postgreSQL RDBMS functionality and non-spatial tables 
within the uDIG environment?
Thanks in advance for any help.  This project is for a small Open 
Source/Open Access Student Experience program grant I am working on 
through University of Toronto that involves developing a 
proof-of-concept idea and some educational tutorials using 
postgreSQL/postGIS.  I would like to eventually be able to post the 
results on my own uDIG community page if things go well. I think 
this type of work could help open up uDIG capabilites to the 
slightly less technical users like myself (e.g. GIS and basic 
programming/RDBMS skills experience, but still need lots of 
examples and explicit documentation to follow!).
Look forward to hearing back from someone - hope it's not too much 
to ask over a mailing list!
--Murray Richardson, M.Sc
PhD Candidate
University of Toronto
murray.richardson@xxxxxxxxxxx <mailto:murray.richardson@xxxxxxxxxxx>
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