Managing large data files, vector and raster, in QGIS 3How to repair and clean contours from high data resolution (lidar)?Per-pixel (statistical) calculations on a raster stack using GDALPoor performance with storing large rasters in PostGIS and visualising in QGISExport vector layer to raster in QGISPacking tiled rasters into a Geopackage in QGIS 3.0.3 whilst maintaining the colourWhat does the vector to raster option in QGIS do, exactly?
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Managing large data files, vector and raster, in QGIS 3
How to repair and clean contours from high data resolution (lidar)?Per-pixel (statistical) calculations on a raster stack using GDALPoor performance with storing large rasters in PostGIS and visualising in QGISExport vector layer to raster in QGISPacking tiled rasters into a Geopackage in QGIS 3.0.3 whilst maintaining the colourWhat does the vector to raster option in QGIS do, exactly?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty
margin-bottom:0;
I work for a local authority so use data covering a large area. Therefore some datasets I use become large and cumbersome.
For example I have a vector layer for contours and a raster layer for hillshade. As I am relatively inexperienced I created Booth of these of a series of tiled points and created a single file. I am happy with the results but performance is slower.
What are the main options available to improve the performance of the vector layers for a single user on one PC and for a team? This should allow me to both display and analyse the data efficiently.
What are the main options available to improve the performance of the raster layer?
qgis data-management
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
add a comment
|
I work for a local authority so use data covering a large area. Therefore some datasets I use become large and cumbersome.
For example I have a vector layer for contours and a raster layer for hillshade. As I am relatively inexperienced I created Booth of these of a series of tiled points and created a single file. I am happy with the results but performance is slower.
What are the main options available to improve the performance of the vector layers for a single user on one PC and for a team? This should allow me to both display and analyse the data efficiently.
What are the main options available to improve the performance of the raster layer?
qgis data-management
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
Do you have access to a server, so you could host your own WMS? Could you reduce the resolution of the DEM/countour layer? What do you mean by "I created both of these of a series of tiled points and created a single file"? Aren't they two files? Why do you actually need hillshade? Would it be feasible to turn on these layers only when you really need them?
– Erik
Sep 12 at 9:32
To improve performance of a raster layer in qgis, convert it to a single GeoTiff and add external overviews (fastest) or a virtual raster with external overviews (generally fast). You can create a virtual raster then save it as a GeoTiff. Overviews are created in the properties view (right click the layer).
– vinh
Sep 12 at 15:52
You could try creating a geopackage. This uses a sqlite database and can include optimisations for both vector (spatial index) and raster (overviews and internal tiles).
– vinh
Sep 12 at 15:54
In addition to the suggestions to build a spatial index for vectors and pyramids for rasters , you might check out Settings - Options - Rendering for some settings that affect rendering speed. You can generalize/simplify vectors like contours (those from LiDAR are often quite noisy) as well. If you have rasters with complex symbology, especially 32 bit floating point, converting them to rendered 8 bit can greatly improve speed. If you have complex labeling expressions, masking or locations, or complex symbology expressions or symbols, those can slow drawing.
– johns
Sep 12 at 17:12
add a comment
|
I work for a local authority so use data covering a large area. Therefore some datasets I use become large and cumbersome.
For example I have a vector layer for contours and a raster layer for hillshade. As I am relatively inexperienced I created Booth of these of a series of tiled points and created a single file. I am happy with the results but performance is slower.
What are the main options available to improve the performance of the vector layers for a single user on one PC and for a team? This should allow me to both display and analyse the data efficiently.
What are the main options available to improve the performance of the raster layer?
qgis data-management
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
I work for a local authority so use data covering a large area. Therefore some datasets I use become large and cumbersome.
For example I have a vector layer for contours and a raster layer for hillshade. As I am relatively inexperienced I created Booth of these of a series of tiled points and created a single file. I am happy with the results but performance is slower.
What are the main options available to improve the performance of the vector layers for a single user on one PC and for a team? This should allow me to both display and analyse the data efficiently.
What are the main options available to improve the performance of the raster layer?
qgis data-management
qgis data-management
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
edited Sep 12 at 20:49
csk
17.1k1 gold badge15 silver badges42 bronze badges
17.1k1 gold badge15 silver badges42 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
asked Sep 11 at 20:31
boberdorfboberdorf
8919 silver badges14 bronze badges
8919 silver badges14 bronze badges
Do you have access to a server, so you could host your own WMS? Could you reduce the resolution of the DEM/countour layer? What do you mean by "I created both of these of a series of tiled points and created a single file"? Aren't they two files? Why do you actually need hillshade? Would it be feasible to turn on these layers only when you really need them?
– Erik
Sep 12 at 9:32
To improve performance of a raster layer in qgis, convert it to a single GeoTiff and add external overviews (fastest) or a virtual raster with external overviews (generally fast). You can create a virtual raster then save it as a GeoTiff. Overviews are created in the properties view (right click the layer).
– vinh
Sep 12 at 15:52
You could try creating a geopackage. This uses a sqlite database and can include optimisations for both vector (spatial index) and raster (overviews and internal tiles).
– vinh
Sep 12 at 15:54
In addition to the suggestions to build a spatial index for vectors and pyramids for rasters , you might check out Settings - Options - Rendering for some settings that affect rendering speed. You can generalize/simplify vectors like contours (those from LiDAR are often quite noisy) as well. If you have rasters with complex symbology, especially 32 bit floating point, converting them to rendered 8 bit can greatly improve speed. If you have complex labeling expressions, masking or locations, or complex symbology expressions or symbols, those can slow drawing.
– johns
Sep 12 at 17:12
add a comment
|
Do you have access to a server, so you could host your own WMS? Could you reduce the resolution of the DEM/countour layer? What do you mean by "I created both of these of a series of tiled points and created a single file"? Aren't they two files? Why do you actually need hillshade? Would it be feasible to turn on these layers only when you really need them?
– Erik
Sep 12 at 9:32
To improve performance of a raster layer in qgis, convert it to a single GeoTiff and add external overviews (fastest) or a virtual raster with external overviews (generally fast). You can create a virtual raster then save it as a GeoTiff. Overviews are created in the properties view (right click the layer).
– vinh
Sep 12 at 15:52
You could try creating a geopackage. This uses a sqlite database and can include optimisations for both vector (spatial index) and raster (overviews and internal tiles).
– vinh
Sep 12 at 15:54
In addition to the suggestions to build a spatial index for vectors and pyramids for rasters , you might check out Settings - Options - Rendering for some settings that affect rendering speed. You can generalize/simplify vectors like contours (those from LiDAR are often quite noisy) as well. If you have rasters with complex symbology, especially 32 bit floating point, converting them to rendered 8 bit can greatly improve speed. If you have complex labeling expressions, masking or locations, or complex symbology expressions or symbols, those can slow drawing.
– johns
Sep 12 at 17:12
Do you have access to a server, so you could host your own WMS? Could you reduce the resolution of the DEM/countour layer? What do you mean by "I created both of these of a series of tiled points and created a single file"? Aren't they two files? Why do you actually need hillshade? Would it be feasible to turn on these layers only when you really need them?
– Erik
Sep 12 at 9:32
Do you have access to a server, so you could host your own WMS? Could you reduce the resolution of the DEM/countour layer? What do you mean by "I created both of these of a series of tiled points and created a single file"? Aren't they two files? Why do you actually need hillshade? Would it be feasible to turn on these layers only when you really need them?
– Erik
Sep 12 at 9:32
To improve performance of a raster layer in qgis, convert it to a single GeoTiff and add external overviews (fastest) or a virtual raster with external overviews (generally fast). You can create a virtual raster then save it as a GeoTiff. Overviews are created in the properties view (right click the layer).
– vinh
Sep 12 at 15:52
To improve performance of a raster layer in qgis, convert it to a single GeoTiff and add external overviews (fastest) or a virtual raster with external overviews (generally fast). You can create a virtual raster then save it as a GeoTiff. Overviews are created in the properties view (right click the layer).
– vinh
Sep 12 at 15:52
You could try creating a geopackage. This uses a sqlite database and can include optimisations for both vector (spatial index) and raster (overviews and internal tiles).
– vinh
Sep 12 at 15:54
You could try creating a geopackage. This uses a sqlite database and can include optimisations for both vector (spatial index) and raster (overviews and internal tiles).
– vinh
Sep 12 at 15:54
In addition to the suggestions to build a spatial index for vectors and pyramids for rasters , you might check out Settings - Options - Rendering for some settings that affect rendering speed. You can generalize/simplify vectors like contours (those from LiDAR are often quite noisy) as well. If you have rasters with complex symbology, especially 32 bit floating point, converting them to rendered 8 bit can greatly improve speed. If you have complex labeling expressions, masking or locations, or complex symbology expressions or symbols, those can slow drawing.
– johns
Sep 12 at 17:12
In addition to the suggestions to build a spatial index for vectors and pyramids for rasters , you might check out Settings - Options - Rendering for some settings that affect rendering speed. You can generalize/simplify vectors like contours (those from LiDAR are often quite noisy) as well. If you have rasters with complex symbology, especially 32 bit floating point, converting them to rendered 8 bit can greatly improve speed. If you have complex labeling expressions, masking or locations, or complex symbology expressions or symbols, those can slow drawing.
– johns
Sep 12 at 17:12
add a comment
|
3 Answers
3
active
oldest
votes
For your contours, you can
- use simple scale dependent visibility to turn the layer off when zoomed out too far
- build a spatial index
- you could also try a rule-based symbology to limit the contour interval shown as you zoom out
- you may need to build an attribute index on the elevation field to help speed up any labelling and rule-based symbology
For your raster, you can
- build raster overviews (pyramids)
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
add a comment
|
The best way to manage your large datasets is to store them in a spatial database like PostGIS. The loading speed will be twice faster.
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
1
PostGIS will also allow you to do very fast spatial operations.
– ragnvald
Sep 12 at 5:09
Thanks Simon, I don't know much about databases, so will check it out.
– boberdorf
Sep 12 at 10:11
1
@boberdorf This answer is a bit of an over generalisation. Where I work, our very large datasets are stored in a remote spatial database (which is tuned for speed) and it's still way quicker to pull the data down to a local filesystem format to do anything with it. A local database may be quicker, but will have overhead in setting up and tuning.
– user2856
Sep 13 at 0:44
Geoserver is not a spatial database.
– user2856
Sep 14 at 2:49
add a comment
|
Please check out PostGIS
- https://postgis.net/
Also you can access Postgres databases in QGIS
https://www.bostongis.com/blog/index.php?/archives/271-New-in-QGIS-3.2-Save-Project-to-PostgreSQL.html
https://docs.qgis.org/2.8/en/docs/training_manual/databases/db_browser.html
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
add a comment
|
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
For your contours, you can
- use simple scale dependent visibility to turn the layer off when zoomed out too far
- build a spatial index
- you could also try a rule-based symbology to limit the contour interval shown as you zoom out
- you may need to build an attribute index on the elevation field to help speed up any labelling and rule-based symbology
For your raster, you can
- build raster overviews (pyramids)
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
add a comment
|
For your contours, you can
- use simple scale dependent visibility to turn the layer off when zoomed out too far
- build a spatial index
- you could also try a rule-based symbology to limit the contour interval shown as you zoom out
- you may need to build an attribute index on the elevation field to help speed up any labelling and rule-based symbology
For your raster, you can
- build raster overviews (pyramids)
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
add a comment
|
For your contours, you can
- use simple scale dependent visibility to turn the layer off when zoomed out too far
- build a spatial index
- you could also try a rule-based symbology to limit the contour interval shown as you zoom out
- you may need to build an attribute index on the elevation field to help speed up any labelling and rule-based symbology
For your raster, you can
- build raster overviews (pyramids)
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
For your contours, you can
- use simple scale dependent visibility to turn the layer off when zoomed out too far
- build a spatial index
- you could also try a rule-based symbology to limit the contour interval shown as you zoom out
- you may need to build an attribute index on the elevation field to help speed up any labelling and rule-based symbology
For your raster, you can
- build raster overviews (pyramids)
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
answered Sep 11 at 23:32
user2856user2856
35.3k2 gold badges65 silver badges117 bronze badges
35.3k2 gold badges65 silver badges117 bronze badges
add a comment
|
add a comment
|
The best way to manage your large datasets is to store them in a spatial database like PostGIS. The loading speed will be twice faster.
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
1
PostGIS will also allow you to do very fast spatial operations.
– ragnvald
Sep 12 at 5:09
Thanks Simon, I don't know much about databases, so will check it out.
– boberdorf
Sep 12 at 10:11
1
@boberdorf This answer is a bit of an over generalisation. Where I work, our very large datasets are stored in a remote spatial database (which is tuned for speed) and it's still way quicker to pull the data down to a local filesystem format to do anything with it. A local database may be quicker, but will have overhead in setting up and tuning.
– user2856
Sep 13 at 0:44
Geoserver is not a spatial database.
– user2856
Sep 14 at 2:49
add a comment
|
The best way to manage your large datasets is to store them in a spatial database like PostGIS. The loading speed will be twice faster.
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
1
PostGIS will also allow you to do very fast spatial operations.
– ragnvald
Sep 12 at 5:09
Thanks Simon, I don't know much about databases, so will check it out.
– boberdorf
Sep 12 at 10:11
1
@boberdorf This answer is a bit of an over generalisation. Where I work, our very large datasets are stored in a remote spatial database (which is tuned for speed) and it's still way quicker to pull the data down to a local filesystem format to do anything with it. A local database may be quicker, but will have overhead in setting up and tuning.
– user2856
Sep 13 at 0:44
Geoserver is not a spatial database.
– user2856
Sep 14 at 2:49
add a comment
|
The best way to manage your large datasets is to store them in a spatial database like PostGIS. The loading speed will be twice faster.
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
The best way to manage your large datasets is to store them in a spatial database like PostGIS. The loading speed will be twice faster.
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
edited Sep 16 at 1:58
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
answered Sep 12 at 4:14
Simon GISSimon GIS
2631 silver badge9 bronze badges
2631 silver badge9 bronze badges
1
PostGIS will also allow you to do very fast spatial operations.
– ragnvald
Sep 12 at 5:09
Thanks Simon, I don't know much about databases, so will check it out.
– boberdorf
Sep 12 at 10:11
1
@boberdorf This answer is a bit of an over generalisation. Where I work, our very large datasets are stored in a remote spatial database (which is tuned for speed) and it's still way quicker to pull the data down to a local filesystem format to do anything with it. A local database may be quicker, but will have overhead in setting up and tuning.
– user2856
Sep 13 at 0:44
Geoserver is not a spatial database.
– user2856
Sep 14 at 2:49
add a comment
|
1
PostGIS will also allow you to do very fast spatial operations.
– ragnvald
Sep 12 at 5:09
Thanks Simon, I don't know much about databases, so will check it out.
– boberdorf
Sep 12 at 10:11
1
@boberdorf This answer is a bit of an over generalisation. Where I work, our very large datasets are stored in a remote spatial database (which is tuned for speed) and it's still way quicker to pull the data down to a local filesystem format to do anything with it. A local database may be quicker, but will have overhead in setting up and tuning.
– user2856
Sep 13 at 0:44
Geoserver is not a spatial database.
– user2856
Sep 14 at 2:49
1
1
PostGIS will also allow you to do very fast spatial operations.
– ragnvald
Sep 12 at 5:09
PostGIS will also allow you to do very fast spatial operations.
– ragnvald
Sep 12 at 5:09
Thanks Simon, I don't know much about databases, so will check it out.
– boberdorf
Sep 12 at 10:11
Thanks Simon, I don't know much about databases, so will check it out.
– boberdorf
Sep 12 at 10:11
1
1
@boberdorf This answer is a bit of an over generalisation. Where I work, our very large datasets are stored in a remote spatial database (which is tuned for speed) and it's still way quicker to pull the data down to a local filesystem format to do anything with it. A local database may be quicker, but will have overhead in setting up and tuning.
– user2856
Sep 13 at 0:44
@boberdorf This answer is a bit of an over generalisation. Where I work, our very large datasets are stored in a remote spatial database (which is tuned for speed) and it's still way quicker to pull the data down to a local filesystem format to do anything with it. A local database may be quicker, but will have overhead in setting up and tuning.
– user2856
Sep 13 at 0:44
Geoserver is not a spatial database.
– user2856
Sep 14 at 2:49
Geoserver is not a spatial database.
– user2856
Sep 14 at 2:49
add a comment
|
Please check out PostGIS
- https://postgis.net/
Also you can access Postgres databases in QGIS
https://www.bostongis.com/blog/index.php?/archives/271-New-in-QGIS-3.2-Save-Project-to-PostgreSQL.html
https://docs.qgis.org/2.8/en/docs/training_manual/databases/db_browser.html
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
add a comment
|
Please check out PostGIS
- https://postgis.net/
Also you can access Postgres databases in QGIS
https://www.bostongis.com/blog/index.php?/archives/271-New-in-QGIS-3.2-Save-Project-to-PostgreSQL.html
https://docs.qgis.org/2.8/en/docs/training_manual/databases/db_browser.html
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
add a comment
|
Please check out PostGIS
- https://postgis.net/
Also you can access Postgres databases in QGIS
https://www.bostongis.com/blog/index.php?/archives/271-New-in-QGIS-3.2-Save-Project-to-PostgreSQL.html
https://docs.qgis.org/2.8/en/docs/training_manual/databases/db_browser.html
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
Please check out PostGIS
- https://postgis.net/
Also you can access Postgres databases in QGIS
https://www.bostongis.com/blog/index.php?/archives/271-New-in-QGIS-3.2-Save-Project-to-PostgreSQL.html
https://docs.qgis.org/2.8/en/docs/training_manual/databases/db_browser.html
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
answered Sep 12 at 10:41
raajraaj
1297 bronze badges
1297 bronze badges
add a comment
|
add a comment
|
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Do you have access to a server, so you could host your own WMS? Could you reduce the resolution of the DEM/countour layer? What do you mean by "I created both of these of a series of tiled points and created a single file"? Aren't they two files? Why do you actually need hillshade? Would it be feasible to turn on these layers only when you really need them?
– Erik
Sep 12 at 9:32
To improve performance of a raster layer in qgis, convert it to a single GeoTiff and add external overviews (fastest) or a virtual raster with external overviews (generally fast). You can create a virtual raster then save it as a GeoTiff. Overviews are created in the properties view (right click the layer).
– vinh
Sep 12 at 15:52
You could try creating a geopackage. This uses a sqlite database and can include optimisations for both vector (spatial index) and raster (overviews and internal tiles).
– vinh
Sep 12 at 15:54
In addition to the suggestions to build a spatial index for vectors and pyramids for rasters , you might check out Settings - Options - Rendering for some settings that affect rendering speed. You can generalize/simplify vectors like contours (those from LiDAR are often quite noisy) as well. If you have rasters with complex symbology, especially 32 bit floating point, converting them to rendered 8 bit can greatly improve speed. If you have complex labeling expressions, masking or locations, or complex symbology expressions or symbols, those can slow drawing.
– johns
Sep 12 at 17:12