Here's an attempt with postgis. i've used data imported from natural earth data, admin level 1, 1:10m scale.
This will take a long time as it's a 4-way cartesian join with st_relate().
The magic number "FF2F11212" should match when two polygons' intersections are a line, but not when they join at a point. This uses something called DE-9IM. I use a ...
I dont think there is a way of only symbolizing the outer borders. But you can use Dissolve tool to create a new feature class which will not have the inner borders. Then select no fill/transparent fill and symbolize only the borders.
(You probably dont need to use any dissolve attribute)
I don't know why you want to do it interactively. You can use QGIS expressions to visualize those points that have a nearest neighbour less than 2 km away and than decide in each case what to do. You can use differnt forms of visualization, I show here one that connects points nearer than 2km with a line.
The advantage to use geometry generator: when you ...
QGIS or. GDAL NEARBLACK is what you are looking for
Convert nearly black/white borders to black.
nearblack [-of format] [-white | [-color c1,c2,c3...cn]*] [-near dist] [-nb non_black_pixels]
Topology tools may not be necessary in your case. I would transfer the Wards attribute (feature to points, then spatial join) to the census polygon, then dissolve based on the Wards unique identifier. This will yield a new feature class with the attributes of Ward and the boundaries of the Census.
A simple way would be to have your national borders in a separate file from your subnational borders.
Here is an example if you use the most-detailed border datasets from Natural Earth Data (http://www.naturalearthdata.com/downloads/10m-cultural-vectors/). I downloaded both the "Admin 0 - Countries" and "Admin 1- States/Provinces" datasets. They should ...
If you're familiar with the command line:
Download boundaries as JSON (not GeoJSON!) file directly from Overpass API into a local file, via Export --> raw data directly from Overpass API in overpass turbo.
Convert the JSON file via a nodejs script from JSON into GeoJSON. In case you want to use the same library that is in place for overpass turbo, you ...
Your question is very broad but try some kind of segmentation, for example GRASS i.segment. Your raster is probably to high resolution. I tried with 1 m and 5 m:
Convert to lines
The combination of input parameters are infinite.
You can also use Rule-based layer styling with the geometry generator:
Set a filter rule as: is_selected()
and geometry generator: buffer($geometry, 2000, 5):
And an else rule with simple marker styling:
Then select points:
Select two districts you want to merge into one, and from the Editor toolbar menu select "Merge"
A dialog will appear for you to select which record to copy attributes from - select the one you want to keep attributes and click OK
Your selected polygons will now be merged. Repeat for the other districts you would like to merge.
Create a copy of your features, apply following field calculator expression on field Shape, using Python parser:
When working on shapefile, no need to switch editing on.
County and Parish are no longer part of legal descriptions of land. The do still feature on survey plans and property contracts, but more so for historical reference purposes. Parish boundaries were drawn on Parish Maps which were fairly small scale and paid little (if any) attention to features outside the boundary. Here's a sample. You can find others ...
You can create a border around the classes via a virtual layer.
The virtual layer would create the polygon union by class, and you then style it to show just the border. Note that it works best on smaller datasets.
So, go to the menu layer / add layer / add/edit virtual layer and enter the query
select st_union(geometry) from myLayer group by myClass
Looking at the code and at this algorithm description (not the PostGIS one), it appears that the amount of input point does matter. The algorithm needs to look at nearby points to find the concave hull. In your example, the input vertices "inside" the main polygon are closer to the boundary on the other side of the polygon than from their connected vertices. ...
There are a bunch of tools that can help with this. Check out this article for more details:
More specifically the Align to Shape tool will hopefully solve your problem:
First, you need two datasets:
US zip code areas - the actual zip code areas are only available as a very expensive subscription service from the US Postal Service. However, you can probably make do with the zip code tabulation areas (ZCTAs) from the Census Bureau. ZCTAs are updated every ten years; the current ZCTAs are from 2010 (after the 2020 census data ...
Use the KML and download from
using the Saskatchewan Township feature service
Then set your data to UTM-14
and you can measure 1100ft from the Road as in the Well Site Survey.
This can be then used to as the base point capture (digitise) the site ...
To complement the comment above, there is a number of ways that you may want to tackle this issue - most can be run from within QGIS. As mentioned above, the GRASS GIS tool i.segment is a very powerful tool.
In addition, another option is the segmentation tools (e.g. otbcli_Segmentation) available in the Orfeo Toolbox, which are described in detail here. ...
If you're just looking for extreme values of x/y coordinates, you could use QGIS with this expression (e.g. in the field calculator): x_max( $geometry) - replace x with y and max with min for the according values.
Download a vector file for US states, e.g. from OpenStreetMap. There are different ways to do than, one is using Overpass Turbo.
Create a ...
There is no simple and fast solution. Your DTM is indeed incorrect, but only where there are no points. Consequently this problem that is a known issue was considered not big problem.
grid_terrain() has a parameter is_concave = FALSE. If your turns it to TRUE it computes a concave hull and interpolates only in the hull. Sadly it is slow to compute and will ...
After taking @PolyGo's suggestion, I contacted QSpatial regarding if a parish boundary dataset exists for Queensland (Australia) - this was the response:
"Parish names and boundaries are actually historical information.
Parish mapping and the parish information in the DCDB has not been maintained for many years. Unfortunately as the parish boundaries are ...
You should be able to get this from the Queensland Spatial Catalogue (QSpatial).
The Cadastral (DCDB) datasets, at least for each Local Government Area (LGA), have a field for PARISH, which can be used to dissolve them out.
The only catch is that there will be gaps in the dissolved parishes that represent the roads.
I think that it is quite likely that ...
Since a raster is always a matrix of individual pixels, there's no way to get rid of the zig-zag along the edges, when you clip on an angle. However, if you can increase the resolution of the raster (interpolation to a higher resolution) then the gaps will be small enough that it should not be a problem.
Use a negative buffer to offset the boundaries of the polygons. This will create a slight gap between each polygon allowing for the outline boundary not to overlap. Experiment with the negative number until you are satisfied. Set the Input, Output and (minus) Linear Unit, the rest of the fields can be left as default.The attribute values will remain in-tact ...
By the geography advanced FAQ http://postgis.net/docs/using_postgis_dbmanagement.html#idm1391 what you experience is intentional
What is the longest arc you can process?
We use great circle arcs as the "interpolation line" between two
points. That means any two points are actually joined up two ways,
depending on which direction you travel ...
Turns out this information is readily available, but it is buried a little bit in the census's website. If this link is followed: https://www.census.gov/rdo/data/113th_congressional_and_2012_state_legislative_district_plans.html the data can be found. It is easy to miss, but can be found under the heading '113th Congress and 2012 State Legislative Block ...
ST_Relate can do that; you can specifically define the spatial relation you want by using the DE-9IM.A query would look like this:
ON ST_Intersects(a.geom, b.geom)
WHERE ST_Relate(a.geom, b.geom, 'TT*FT*FF*')
I made the matrix out of my head...you might need to alter it accordingly. Check out this blog.