Telecom cell site plan and optimization using QGIS
Create Points or Site Locations:
Create database in CSV (make sure antenna sizes are sorted in descending order: highest first to lowest last, such that masking through overlay of cells could be avoided)
2. Import to QGIS using "Add Delimited Text Layer"
Choose X and Y fields and pick Datum
For OpenSource GIS tech investigate the offereings available via OsGeo. This is not the only source of FOSS4G but is a comprehensive stable of solutions that work well together and, in some cases, are the test bed for certain GIS standards.
QGIS is an excellent solution for your needs as it has both desktop and server solutions but also comes bundled with ...
Here's just the nuts-and-bolts from some working code:
// in main()...
GDALAllRegister(); // register all drivers
// open your raster - format doesn't matter as all the drivers are registered
GDALDataset* SourceRasterDS = (GDALDataset*) GDALOpen(Raster,GA_ReadOnly);
double GeoTransform; ...
Google Static map api requires centre,lat/lng and pixel size as well as zoom level
You will need to modify to suit your needs but the key point is that it contains
Which take a cluster of points and calculate the zoom level and centre of the map ...
Using QgsMapCanvasItem is the way to go here as you will not have to refresh the canvas. You just have to make sure your implementation is correct.
Here is a basic example (taken from https://github.com/DMS-Aus/Roam/blob/master/src/roam/gps_action.py)
def __init__(self, canvas):
I had your same problem. I solved it updating the code in order to match the QGis 2 major changes:
int main(int argc, char *argv)
QgsApplication app(argc, argv, true);
QString myPluginsDir = "/usr/lib64/qgis";
QString myLayerPath = "pathtoashapefile";
QString myLayerBaseName = "italy";
QString myProviderName = "ogr";
That solved my problem.
Further information and a tutorial can be found here http://gdal.org/1.11/ogr/ogr_apitut.html
A C++ version for GDAL 1.11:
poDS = OGRSFDriverRegistrar::Open( "data.shp", FALSE);
You can use QgsLayerTreeView (accessible from the iface object) for that. I didn't find a direct way (QgsLayerTreeGroup doesn't seem to have a method for that), but you can simply reuse the following function:
def isMyGroupSelected( groupName ):
myGroup = QgsProject.instance().layerTreeRoot().findGroup( groupName )
return myGroup in iface....
Is there a different mechanism for vector files?
Yes. Although the vector and raster drivers were merged in GDAL 2x, you still need to know which methods apply to rasters and which are for vectors. Confusingly, vector datasources now expose methods that only apply to rasters...
The GetProjectionRef method you are using applies to raster datasources and ...
The code is in GitHub. The Fix Geometries tool is a wrapper to the function LWGEOM_GEOS_makeValid, which then calls different functions for different geometry types. You can read the various LWGEOM_GEOS_makeValid* functions such as the polygon one in the file qgsgeometrymakevalid.cpp
If you're looking for something that's really easy to use and your lat/long data come from a shapefile, you could check out the Python Geographic Visualizer (GeoVis) module. It has no dependencies, requires no installation, and is very easy to use. In the newest version you can also zoom in on specific areas and symbolize based on attribute classification:
You're trying to use an OGR (vector) driver with GDAL (raster) tools. Here's a few lines of my working code that may help:
char* BasePath = new char[FullPathMax]; // this does have a value before it's used
OGRDataSource *hDS = NULL;
OGRSFDriver *Driver = NULL;
hDS = OGRSFDriverRegistrar::Open(BasePath,FALSE,&Driver);
As you can see ...
Using scipy and numpy:
import numpy as np
from scipy.spatial import Delaunay
points = np.random.rand(4, 3)
tri = Delaunay(points)
See the documentation here.
If you want to write a lasfile with SRS information, you must create your liblas::Writer using a liblas::Header that has a defined SRS. Change your code to this:
ofs.open("test.las", ios::out | ios::binary)...
Data Provider vs Vector Layer
A vector layer has a data provider which (normally ) is used to store data persistently.
If you edit something on the layer with a normal edit session, your changes will be saved in the vector layer until you commit them, then they will be sent to the data provider.
In your example you start an edit session ...
In QGIS styling is layer based, so it is generally not possible to set different styles or different symbols for individual features. I think this is because features are handled by the data source, while styling is organized by QGIS's layer.
Nevertheless you can get individual styling based on the feature attributes. This is called a "Data defined override"...
Took me a while to find: a long while ago I had a naive lock file implementation in place, using Python Macros (activate and alter in <QGIS>|Project|Properties...|Macros).
I updated the code to use the QGIS 3.x classes and syntax:
from qgis.core import QgsProject
from PyQt5.QtWidgets import QMessageBox
### utility functions ###
It's generally discouraged to write c++ QGIS plugins, for the following reasons:
They can't be distributed via the plugin library (only python plugins with no binary dependencies are accepted)
The c++ API is not stable between QGIS releases (including point releases), so you need to update and recompile c++ plugins for each QGIS version used. (In contrast, ...
libpq allows us to connect to Postgres/postgis for read write operations.
If you have installed Postgres,libpq is already available.It would be available at installation path like C:\Program Files\PostgreSQL\9.5\include
//To make use in C/C++, you include these header files
GeoTransform is an array that contains six numbers:
Angle (with vertical axis)
Angle (with horizontal axis)
X and Y are coordinates of the top left corner of your raster image.
Each pixel has size, width and height and it is a value in meters or degrees (depends on your CRS) - this value is constant, not scalable, ...