Tag: qgis

Exporting QGIS Data to DXF and KML Formats Using Python Script

In this blog post, we’ll explore how to use a Python script in QGIS to export geospatial data to DXF and KML file formats. This is a handy technique for those who work with geographic information systems (GIS) and need to share their data in different formats. We’ll walk through the script that filters and exports data based on subprojects, creating subproject-specific folders and supporting two different coordinate systems (EPSG:6204 and EPSG:6316).

I have a QGIS project with a pipe layer, and this pipe layer contains a field called “Subproject.” I want to filter the data by each subproject (ranging from 1 to 20) and save the filtered data in both DXF and KML formats. Additionally, you need to create separate folders for each subproject, and the DXF files should use two different coordinate systems.

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Simplifying Data Integration in QGIS: Joining Attribute Data from Two Point Layers

When working with QGIS, efficient data integration is key. The ‘Join attributes by nearest’ tool simplifies this process, enabling you to merge attribute data from two point layers seamlessly. This powerful feature, nestled under ‘Processing Tool > Vector General,’ empowers you to customize the maximum distance, giving you control over the spatial accuracy of your analysis. Whether you’re dealing with geospatial research, urban planning, or environmental studies, mastering this tool in QGIS can greatly enhance your data integration capabilities.

Exploring QGIS Plugins

1) MMQGIS: Take a look at MMQGIS, which is a large collection of Python tools for QGIS. It lets users interact with vector map layers in a dynamic way. It has features like CSV operations, geocoding, geometry changes, buffering, and even simple animation. What makes MMQGIS stand out is that it shows progress in a clear way, has an easy-to-use interface, gives straight access to shapefiles and CSV files, and has some features that you won’t find in other plugins.

2) HCMGIS: HCMGIS is a full suite that can be used for many GIS jobs. Users can do the following:

Use world basemaps from Google, Carto, ESRI, and the like.
Use the Batch Converter to convert CSV files to different GIS types in a smooth way.
You can get open data from many places, like Stanford University and OSM Geofabrik.
Integrate easily with Vn-2000 projections that are specific to the areas of Vietnam.
Do advanced spatial processing, like making centerlines for road networks or finding the biggest empty circle in a set of points.
You can change features, combine data fields, and even change fonts to Vietnamese.
3) QuickMapServices:
QuickMapServices makes the world of geoservices easier to understand by giving users an easy way to add basemaps. With its simple list of services and easy-to-use search function, it has never been easier to find datasets and basemaps and work with them.