[Qgis-user] Qgis and composite type fields in attribute table

[Jan Michálek]

Hello
Is there a some simple way (without programing plugin) how to display and
edit fields from postgre which have composite type?

Thanks Je;

-- 
Jelen
Starší čeledín datovýho chlíva
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[Qgis-user] add project to lizmap

[Steve . Toutant]

I have installed lizmap3 and I see Montpellier project.
My qgis project can be used with qgis-server as WMS
I created the .qgs.cfg file with lizmap plugin

Everything is local.
I have followed 
http://docs.3liz.com/en/publisher_guide/lizmap_configuration.html
Can't find in the doc what I should do next in order to see this project 
in lizmap?

What am I missing?
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Re: [Qgis-user] best data storage fo time series visualisation in QGIS

[Anita Graser]

On Fri, Jun 17, 2016 at 11:58 AM, Andrew Harfoot 
wrote:

> I saw a demo of the Crayfish plugin at the FOSS4G-UK conference earlier in
> the week, and it provides 'time slider' functionality for netCDF based
> data, plus additional tools such as video generation. Worth taking a look?
>

​+1 I think for netCDF data, Crayfish is a much better fit than Time
Mananger.

Best wishes,
Anita​
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Re: [Qgis-user] best data storage fo time series visualisation in QGIS

[Blumentrath, Stefan]

Hi,

What about using Grass Data Explorer 
(https://bitbucket.org/huhabla/grass-data-explorer)?
Please find a demo here:
https://www.youtube.com/watch?v=xxHt3jJbnYw

Lots of visualization, animation and analysis possibilities thanks to the 
temporal framework in GRASS (TGIS)...
However, for vector data TGIS might need some love...

If you go for PostGIS, use table partitioning for efficiency!

Cheers
Stefan

From: Qgis-user [mailto:qgis-user-boun...@lists.osgeo.org] On Behalf Of Régis 
Haubourg
Sent: 17. juni 2016 11:29
To: qgis-user@lists.osgeo.org
Subject: [Qgis-user] best data storage fo time series visualisation in QGIS

Hi,
I need the communities lights!

I'm starting to work with huge meteo datasets composed of a grid of point 
layers, and hundred of millions of rainfall / temperature data.

Datasets are delivered in a custom text format, so I'm digging around on what 
are the best formats for storage, use in postgis and QGIS.
I would like to be able to :
 - run timeManager to generate videos
 - display data averaged on day / month / year (or any other) timeframe
 - feed R analyses.

Up to now, I tried the following paths:
  - netcdf  / grib:  ideal for data storage:
  Pros : GDAL and QGIS can view it. R And python scipy have providers 
for that
  Cons : not easy to generate from exotic datasources, Current QGIS 
Netcdf explorer or core date visualisation (time frame = raster bands)  are not 
handy for daily data over decades (about 10 000 days available in my dataset).  
I didn't manage to build netcdf yet, FME or GDAL are a bit dry..

 - load all in postgres / postgis relationnal model:
  Pros: available for all clients and fast, if data is correctly 
indexed and designed/
  Cons: performance requires a table (not a view because of lack of 
estimated metadata for extent computing) with redondancy over point location. I 
tried a first approach with a small geographical table for my point grid and a 
value table. With correct indexing and clustering, I get good performance in 
psql but very poor in QGIS. First load is slooow because of the st_extent 
query, but also every fetch afterwards, even if I filter on a date frame (with 
good index). I didn't expect it to be slow on fetch..

Another point with postgis storage, TimeManager plugin does not like true date 
datatype, date cast to char truncate date to first character,  so I have to 
expose my datasets with a text format in my view, which is not quite efficient. 
 (I will create a ticket upstream)

Does anyone has any experience and advices on that field ?

 I saw that postgis has a datacube type, could that be a way to store data more 
efficiently? Could QGIS read it?  Should I stick with netcdf ?

Thanks a lot

--
Régis
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Re: [Qgis-user] [Qgis-psc] 2nd Int. QGIS Conference: videos already available

[Sandro Santilli]

On Fri, Jun 17, 2016 at 09:54:35AM +0200, Lluís Vicens wrote:

> The videos of the 2nd International QGIS Conference held in Girona
> on May, are already available online [1].
> 
> [1] http://diobma.udg.edu/handle/10256.1/4268/browse

Thank you, Lluís!
Pity the slides aren't really visible in the video, could they
be downloaded separately ?

--strk;
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Re: [Qgis-user] best data storage fo time series visualisation in QGIS

[Andrew Harfoot]

I saw a demo of the Crayfish plugin at the FOSS4G-UK conference earlier 
in the week, and it provides 'time slider' functionality for netCDF 
based data, plus additional tools such as video generation. Worth taking 
a look?


Andy

On 17/06/2016 10:29, Régis Haubourg wrote:

Hi,
I need the communities lights!

I'm starting to work with huge meteo datasets composed of a grid of 
point layers, and hundred of millions of rainfall / temperature data.


Datasets are delivered in a custom text format, so I'm digging around 
on what are the best formats for storage, use in postgis and QGIS.

I would like to be able to :
 - run timeManager to generate videos
 - display data averaged on day / month / year (or any other) timeframe
 - feed R analyses.

Up to now, I tried the following paths:
  - netcdf  / grib:  ideal for data storage:
  Pros : GDAL and QGIS can view it. R And python scipy have 
providers for that
  Cons : not easy to generate from exotic datasources, Current 
QGIS Netcdf explorer or core date visualisation (time frame = raster 
bands)  are not handy for daily data over decades (about 10 000 days 
available in my dataset).  I didn't manage to build netcdf yet, FME or 
GDAL are a bit dry..


 - load all in postgres / postgis relationnal model:
  Pros: available for all clients and fast, if data is 
correctly indexed and designed/
  Cons: performance requires a table (not a view because of 
lack of estimated metadata for extent computing) with redondancy over 
point location. I tried a first approach with a small geographical 
table for my point grid and a value table. With correct indexing and 
clustering, I get good performance in psql but very poor in QGIS. 
First load is slooow because of the st_extent query, but also every 
fetch afterwards, even if I filter on a date frame (with good index). 
I didn't expect it to be slow on fetch..


Another point with postgis storage, TimeManager plugin does not like 
true date datatype, date cast to char truncate date to first 
character,  so I have to expose my datasets with a text format in my 
view, which is not quite efficient.  (I will create a ticket upstream)


*Does anyone has any experience and advices on that field ? *
*
*
 I saw that postgis has a datacube type, could that be a way to store 
data more efficiently? Could QGIS read it? Should I stick with netcdf ?


Thanks a lot

--
Régis


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--
Andy Harfoot

GeoData Institute
University of Southampton
Southampton
SO17 1BJ

Tel:  +44 (0)23 8059 2719
Fax:  +44 (0)23 8059 2849

www.geodata.soton.ac.uk

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[Qgis-user] best data storage fo time series visualisation in QGIS

[Régis Haubourg]

Hi,
I need the communities lights!

I'm starting to work with huge meteo datasets composed of a grid of point
layers, and hundred of millions of rainfall / temperature data.

Datasets are delivered in a custom text format, so I'm digging around on
what are the best formats for storage, use in postgis and QGIS.
I would like to be able to :
 - run timeManager to generate videos
 - display data averaged on day / month / year (or any other) timeframe
 - feed R analyses.

Up to now, I tried the following paths:
  - netcdf  / grib:  ideal for data storage:
  Pros : GDAL and QGIS can view it. R And python scipy have
providers for that
  Cons : not easy to generate from exotic datasources, Current QGIS
Netcdf explorer or core date visualisation (time frame = raster bands)  are
not handy for daily data over decades (about 10 000 days available in my
dataset).  I didn't manage to build netcdf yet, FME or GDAL are a bit dry..

 - load all in postgres / postgis relationnal model:
  Pros: available for all clients and fast, if data is correctly
indexed and designed/
  Cons: performance requires a table (not a view because of lack of
estimated metadata for extent computing) with redondancy over point
location. I tried a first approach with a small geographical table for my
point grid and a value table. With correct indexing and clustering, I get
good performance in psql but very poor in QGIS. First load is slooow
because of the st_extent query, but also every fetch afterwards, even if I
filter on a date frame (with good index). I didn't expect it to be slow on
fetch..

Another point with postgis storage, TimeManager plugin does not like true
date datatype, date cast to char truncate date to first character,  so I
have to expose my datasets with a text format in my view, which is not
quite efficient.  (I will create a ticket upstream)

*Does anyone has any experience and advices on that field ? *

 I saw that postgis has a datacube type, could that be a way to store data
more efficiently? Could QGIS read it?  Should I stick with netcdf ?

Thanks a lot

-- 
Régis
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[Qgis-user] QGIS Server logo

[Nicolas Boisteault]

Hi list,

I'd like to know if there is a logo for QGIS _*Server*_?

Thank you

--
Nicolas BOISTEAULT
Développeur Web
Observatoire Régional de l'Environnement
Téléport 4 Antarès - BP 50163 - 86962 Futuroscope Chasseneuil Cedex
Tél : 05 49 49 71 18
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Re: [Qgis-user] [Qgis-psc] 2nd Int. QGIS Conference: videos already available

[Luigi Pirelli]

really thanks Lluis for the perfect organisation :)

cheers
Luigi Pirelli

**
* Boundless QGIS Support/Development: lpirelli AT boundlessgeo DOT com
* LinkedIn: https://www.linkedin.com/in/luigipirelli
* Stackexchange: http://gis.stackexchange.com/users/19667/luigi-pirelli
* GitHub: https://github.com/luipir
* Mastering QGIS:
https://www.packtpub.com/application-development/mastering-qgis
**


On 17 June 2016 at 09:54, Lluís Vicens  wrote:
> Hi all,
>
> The videos of the 2nd International QGIS Conference held in Girona on May,
> are already available online [1]. In the upcoming days all those videos will
> be posted on our vimeo channel, where you can also find all the registered
> videos (in Spanish) of the previous Spanish FOSS4G conferences [2].
>
> [1] http://diobma.udg.edu/handle/10256.1/4268/browse
> [2] https://vimeo.com/sigteudg/albums
>
> All the best,
> Lluís Vicens
>
> --
> Local Organizing Committee
> 10as Jornadas de SIG Libre
> 2nd International QGIS User and Developer Conference
> -
> Pl. Ferrater Mora 1
> 17071 Girona
> infojorna...@sigte.org
>
> Web site: http://www.sigte.udg.edu/jornadassiglibre/en/
> Twitter: http://twitter.com/SIGLibreGirona
>
>
> ___
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[Qgis-user] 2nd Int. QGIS Conference: videos already available

[Lluís Vicens]

Hi all,

The videos of the 2nd International QGIS Conference held in Girona on 
May, are already available online [1]. In the upcoming days all those 
videos will be posted on our vimeo channel, where you can also find all 
the registered videos (in Spanish) of the previous Spanish FOSS4G 
conferences [2].


[1] http://diobma.udg.edu/handle/10256.1/4268/browse
[2] https://vimeo.com/sigteudg/albums

All the best,
Lluís Vicens

--
*Local Organizing Committee*
10as Jornadas de SIG Libre
2nd International QGIS User and Developer Conference
-
Pl. Ferrater Mora 1
17071 Girona
infojorna...@sigte.org 

Web site: http://www.sigte.udg.edu/jornadassiglibre/en/
Twitter: http://twitter.com/SIGLibreGirona

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