QGIS Planet

Plugin Update – June, 2024

In the month of June, 23 new plugins were published in the QGIS plugin repository.

Here follows the quick overview in reverse chronological order. If any of the names or short descriptions catches your attention, you can find the direct link to the plugin page in the table below:

Heritage Inventory
Digitally register, manage, and visualise heritage resource data with this inventory worksheet plugin.
Commuting Analysis
This plugin analysis and visualises commuting data.
Supervised Classifier
A plugin to classify selected raster file with reference
Field Stats
This plugin calculates basic stats, graph histogram and boxplot
Curvilinear Coordinator
Plugin for river data conversion from Cartesian to curvilinear orthogonal system
Konwerter PL-ETRF2000 PL-2000
Konwerter współrzędnych punktu układu PL-ETRF2000 do układu PL-2000
EIS QGIS Plugin
Comprehensive mineral prospectivity mapping and analysis framework
mgwr_plugin
A QGIS plugin for Multiscale Geographically Weighted Regression (MGWR)
D2S Browser
This plugin allows you to browse your data on a D2S instance.
WAsP scripting
Scripts for fetching, creating and saving WAsP map files
CSMap Plugin
DEMをGeoTIFF形式のCS立体図に変換するQGISプラグインです。
Fast Line Density Analysis
A fast line density visualization plugin for geospatial analytics
Unsupervised Classifier
Plugin for unsupervised classification of satellite images
BathyFlowDEM
Anisotropic interpolation for bathymetric data
Hankaku Converter
This plug-in converts string attribute values to full-width (Zenkaku) and half-width (Hankaku) characters to each other.
Spot Height Extractor
This plugin extracts spot heights from an elevation model.
Power Clipboard
Plugin to easy copy/zoom to XY/YX coords.
Pan Europeo
Ponders very large and distinct rasters with different utility functions
trainminator2
Plugin de labellisation
디지털트윈(DigitalTwin)
QGIS plugin for DigitalTwin
Band Stacker
A plugin to stack bands from selected raster layers
Georeferencer Extension
Extension to the Raster Georeferencer Plugin
CartoGrapher
This plugin provides commonly used methods to produce a generalized map.

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Trajectools 2.2 released

If you downloaded Trajectools 2.1 and ran into troubles due to the introduced scikit-mobility and gtfs_functions dependencies, please update to Trajectools 2.2.

This new version makes it easier to set up Trajectools since MovingPandas is pip-installable on most systems nowadays and scikit-mobility and gtfs_functions are now truly optional dependencies. If you don’t install them, you simply will not see the extra algorithms they add:

If you encounter any other issues with Trajectools or have questions regarding its usage, please let me know in the Trajectools Discussions on Github.

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[Changelog] Centring to GPS position when recording

We brought back the option for centring to GPS position when entering the recording mode. Additionally, we added a new entry into the application settings to disable this behavior if desired.

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[Changelog] Android fused location provider, new opt-in feature

We've integrated the Android Fused Location Provider into our app for enhanced location accuracy and efficiency. This update leverages all available location sources to provide faster and more precise location data while optimizing battery usage, ensuring your device stays powered longer. It is currently an opt-in feature, so you will need to enable it in the app settings under Manage GPS Providers. Enable this feature to enjoy improved location-based services and a longer-lasting battery with our latest enhancement!

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Plugin Update – April to May, 2024

Between April and May there were 33 new plugins published in the QGIS plugin repository.

Highlights

We would like the use this opportunity to highlight two plugins, Viper (QGIS snake Clone) and Active Break.

Viper allows to emulate in QGIS canvas the popular game Snake, providing a fun time and a bit of nostalgia for the “older” users. However it goes further than that, as it serves the purpose of teaching about geospatial concepts such as geometry objects (points, polygons) with their properties and methods, spatial indexing in the form of R-Tree, but also programming in QGIS, as well as other aspects.

On a more serious tone, if it can be said that, we present Active Break, a plugin that “simply” presents messages at specific time intervals, which can be personalized by the user and range from the more technical such as “save your project”, personal or motivational like quotes from hundreds of people on multiple subjects, or perhaps the most important, routinely reminders to take a break, relax or go have lunch. This considering the long hours we spent daily in front of the computer, with all the physical and mental health, as well as social implications. Congratulations on both authors!

Overview

Here follows the quick overview in reverse chronological order. If any of the names or short descriptions catches your attention, you can find the direct link to the plugin page in the table below:

Swiss GeoAdmin Bulk Geocoder
Bulk geocoding of Swiss building addresses using the geocoding service of geo.admin.ch, the portal of swisstopo.
EDAC Tools
A toolbox containing various Python-based tools developed by the Earth Data Analysis Center (EDAC) at the University of New Mexico.
CompareClassA
Compare two datasets of GPKG pointZ geometry based on french legislation formatting “class A”.
Stats By Polygon
This plugin creates plots for statistics of raster bands based on selected polygon feature.
UMap
This plugin enables any user to transform a stack of digital bathymetric data terrain models into a bathymetric community map.
SkyGIS
This is a plugin to download files from Skydeck, process it in QGIS and upload the results back to Skydeck portal.
Amazon Location Service
QGIS Plugin for Amazon Location Service.
CIGeoE Copy Paste Features 3D
Copy and paste features from one layer to another of the same type preserving original Z coordinate.
CIGeoE Translate To Fit To Adjacent Polygon
Do a polygon translation to the nearest polygon, by making it coincide their nearest vertices.
CIGeoE Toggle Vertex Visibility
Toggle vertex’s marker visibility.
CIGeoE Reverse Line
Reverses a selected line.
UA Coordinates Transformation
Трансформація (перерахунок) координат вектороного шару через офіційне API Державної геодезичної мережі.
Translation: Transformation of vector layer coordinates through the official API of the State Geodetic Network.
GeoBasis_Loader
GeoBasis_Loader (Open Data GeoBasisdaten).
Viper (QGIS snake clone)
Snake clone using vector layers and QGIS canvas.
jpdata
Download and load various data of Japan.
S2 Toolkit
Tools for the S2 Geometry.
PL-2000
Konwerter współrzędnych punktu układu PL-ETRF2000 do układu PL-2000.
Translation: PL-ETRF2000 point coordinate converter to PL-2000 system.
Luftbildfinder NRW
Find and display aerial images (German State of North Rhine-Westphalia) – Luftbilder finden und laden für NRW.
UDef-ARP Plugin
UDef-ARP for QGIS.
Route Builder
“Route Builder” is a QGIS plugin with a set of tools that calculates shortest routes in street networks using data from OpenStreetMap (OSM) and using the A* (A Star) algorithm. Users can define a region, define origin and destination points (O/D) using the coordinates collected by the plugin, these coordinates of the nodes and thus calculate the shortest route between them.
Transition-QGIS
Access a Transition transit planning server data and functionalities from QGIS.
PG service parser
View, edit or copy PG service entries.
Skråfotos
Opslag på Dataforsyningens Skråfotos.
Translation: Notice on Dataforsyningens Skråfotos.
OD_LSA_Loader (Open Data Land Sachsen Anhalt Loader)
OD_LSA_Loader (Open Data Land Sachsen Anhalt Loader) – Plugin Deprecated
QuickWebViewer
Publish your QGIS project online as web map.
ActiveBreak
ActiveBreak is a plugin for QGIS that emits messages at the top of the canvas at time intervals from the start of work, reminding the user to take an active break, take their lunch and/or reminders indicating to save their QGIS project.
QGIS Shoreline Change Analysis Tool
A plugin for Shoreline Change Analysis (SCA).
eMapTools
This plugin propose retention trees and riparian buffer zones based on ecological values.
NextGIS OGRStyle
Capture OGR Style in ONE click to paste them into a spreadsheet.
landXMLtoDB_Free
Provides LandXML to Database tools, etc, storing to PostGIS initially, later to Oracle and MS SQL.
RRR-reader
Reads RRR files.
Spatial Analyzer
Spatial Analysis Tools.
Japan GSI Point Collector
This plugin collects xyz points from gsi website. The selection should be within Japan boundary.

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New MovingPandas tutorial: taking OGC Moving Features full circle with MF-JSON

Last week, I had the pleasure to meet some of the people behind the OGC Moving Features Standard Working group at the IEEE Mobile Data Management Conference (MDM2024). While chatting about the Moving Features (MF) support in MovingPandas, I realized that, after the MF-JSON update & tutorial with official sample post, we never published a complete tutorial on working with MF-JSON encoded data in MovingPandas.

The current MovingPandas development version (to be release as version 0.19) supports:

  • Reading MF-JSON MovingPoint (single trajectory features and trajectory collections)
  • Reading MF-JSON Trajectory
  • Writing MovingPandas Trajectories and TrajectoryCollections to MF-JSON MovingPoint

This means that we can now go full circle: reading — writing — reading.

Reading MF-JSON

Both MF-JSON MovingPoint encoding and Trajectory encoding can be read using the MovingPandas function read_mf_json(). The complete Jupyter notebook for this tutorial is available in the project repo.

Here we read one of the official MF-JSON MovingPoint sample files:

traj = mpd.read_mf_json('data/movingfeatures.json')

Writing MF-JSON

To write MF-JSON, the Trajectory and TrajectoryCollection classes provide a to_mf_json() function:

The resulting Python dictionary in MF-JSON MovingPoint encoding can then be saved to a JSON file, and then read again:

import json
with open('mf1.json', 'w') as json_file:
    json.dump(mf_json, json_file, indent=4)

Similarly, we can read any arbitrary trajectory data set and save it to MF-JSON.

For example, here we use our usual Geolife sample:

gdf = gp.read_file('data/demodata_geolife.gpkg')
tc = mpd.TrajectoryCollection(gdf, 'trajectory_id', t='t')
mf_json = tc.to_mf_json(temporal_columns=['sequence'])

And reading again

import json
with open('mf5.json', 'w') as json_file:
    json.dump(mf_json, json_file, indent=4)
tc = mpd.read_mf_json('mf5.json', traj_id_property='trajectory_id' )

Conclusion

The implemented MF-JSON support covers the basic usage of the encodings. There are some fine details in the standard, such as the distinction of time-varying attribute with linear versus step-wise interpolation, which MovingPandas currently does not support.

If you are working with movement data, I would appreciate if you can give the improved MF-JSON support a spin and report back with your experiences.

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Rapid Mapping the Ticino Floods and Landslides with QField Rapid Mapper

QField Rapid Mapper is a project for the QField mobile app, which allows emergency responders, civil protection, military, and citizens to assess and report damages from natural catastrophes by quickly sharing geolocated images, videos and audio. QField Rapid Mapper offers real-time data collection, mapping and sharing to help enhance disaster response and coordination.
QField and QFieldCloud are open-source, and OPENGIS.ch is donating the needed QFieldCloud infrastructure and expertise to help map the floods in Ticino in 2024

OPENGIS.ch Supports Flood Mapping Efforts in Ticino

After discussing with the Protezione Civile Locarno e Valle Maggia and the Centro di Competenza per la geoinformazione (CCGEO), we are proud to announce that OPENGIS.ch is donating the necessary QFieldCloud infrastructure and dedicated projects for a rapid crowdsourcing POC to aid in mapping the 2024 floods in Ticino. This crowdsourcing initiative aims to provide essential support to professionals and volunteers working on flood and landslide assessment and recovery.

https://www.rsi.ch/play/embed?urn=urn:rsi:video:2191880&subdivisions=false

Empowering Response with Advanced Technology

What is needed?

Photographing damaged houses and infrastructure is the most critical aspect of this mapping initiative. These images provide crucial information for assessing the extent of the damage, planning rescue and reconstruction operations, and ensuring that resources are allocated effectively. It’s also important to document any submerged or damaged vehicles, as they offer additional insights into the disaster’s impact. During these activities, it’s essential to be careful and respect the privacy and property of others, avoiding capturing license plate numbers or entering destroyed buildings without permission. Using QField Rapid Mapper can contribute to a faster and more coordinated emergency response while ensuring respect for those affected.

The QFieldCloud infrastructure enables efficient, real-time data collection and sharing, ensuring that accurate and up-to-date information is available to all stakeholders involved in the flood response. This effort underscores our commitment to leveraging technology for social good and environmental resilience.

How You Can Get Involved

  1. if you don’t have a QFieldCloud account yet, sign up at https://app.qfield.cloud/accounts/signup/
  2. fill out the quick participation form at https://forms.gle/dkjZsSWdmCzr9xic8

By participating, you will have access to powerful tools for field data collection and can contribute valuable information to the ongoing efforts in Ticino. All the data collected will be released under the Creative Commons CC0 1.0 public domain license.

Join the Effort

Using QField and QFieldCloud, you can help create detailed maps crucial for understanding the impact of the floods and planning effective recovery strategies. Your contributions will make a significant difference in managing and mitigating the effects of this natural disaster.

Visit our QField Rapid Mapper project page for more information on how QField and QFieldCloud can assist in flood mapping and other field data collection projects.

Together, we can make a difference. Join us in mapping the floods in Ticino and support the community’s recovery efforts.

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3.3.6 - Darién

What's Changed

  • Expose functions for plugin authors to handle global, project, and layer variables
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Plugin Update – February to March, 2024

From February to March of this year, 58 new plugins were published in the QGIS plugin repository.

Here follows the quick overview in reverse chronological order. If any of the names or short descriptions catches your attention, you can find the direct link to the plugin page in the table below:

Indonesian Multi-scaled Grid System
This plugin automate the determination of Indonesia’s Environmental Support and Capacity.
NDVI to Variable Nitrogen Application Map
This plugin was developed for producing variable nitrogen application maps based on index (e.g. NDVI, EVI) values.
Dynamic Flow
Compare two datasets of GPKG pointZ geometry based on french legislation formatting “class A”.
Stats By Polygon
Dynamic Flow is a QGIS plugin to estimate the spatio-temporal 3D gradient flow from the point observation of the attributes values such as aggregated cell-phone mobility data.
On-the-Fly-Shortest-Path
Interactively find shortest path between points over a line network and calculate the Fiber Loss Budget of a fiber optic network (backbone or FTTH)
SMODERP2D
This plugin calculates hydrological and erosion processes on individual plots or small catchments.
Multifilter
Filter multiple layers
NDVI and EVI Index Calculator
This plugin calculates NDVI and EVI index from Sentinel 2 B02, B04 and B08 Bands.
GeoZone
QGIS plugin for adding and modifying zone data in compliance with the GeoZone schema, facilitating sharing with partners or uploading to a central web repository.
CIGeoE Mirror View
Add one or more panels synchronized with the main panel.
SIOSE Tools
Herramientas SIOSE.
RioGIS 2
Export to WinCan.
Clasificación de redes hídricas
Este plugin clasifica las redes hídricas por medio de una etapa de enriquecimiento y otra de lógica difusa. Advertencia: Versión experimental, algunos procesos pueden ser largos de aplicar.
AutoStyler
Apply QML style files to new layers. QML files are stored in {qgis_home}\Styles directory. QML files will be applied to a vector layer when the QML file’s basename is found as a substring of the new layer’s name. QML files will be applied to a raster layer when the QML file’s label token is found as a substring of the new layer’s name. The label token is raster_style_{label}.qml.
Delta Shares
With this plugin you can load data from delta shares
Simple ETL
A simple ETL for spatial data
Flood Path Finder
Developed with Python by Emerson N. Santos – 2024
MongoDB Layer
This plugin gives the possibility to create a layer from MongoDB datasource
Power Pin PL
Plugin eksportuje pinezkę do serwiów typu geoportal. Pin to popular polish and world maps portal. Plugin export pin to popular geoportal like serives
Mineral Exploration Web Services
This plugin connects your QGIS User Profile to many openly hosted web services related to mineral exploration. These include Country and State geological surveys that provide mapped geology and data such as mineral occurence locations, geophysics, geochemistry etc.
OrfeoToolbox Provider
OrfeoToolbox Processing provider.
MitiConnect
MitiConnect integrates ecological connectivity in mitigation hierarchy based on landscape graphs.
Compare_attributes
Compare Attributes
Geo Cluster
This plugin allows you to cluster different territorial scopes.
Estonian Oblique Aerial Photographs
Get the oblique aerial photographs of Estonia at the clicked location on the map
Two distances intersection
Get the intersection of two distances (2D cartesian)
Show Corona CAST by click
This plugin opens a webpage showing the Corona CAST map in the clicked coordinates on the canvas
Roll
Design and analysis of 3D seismic survey geometries
moniQue
Monoplotting oblique images with uncertainty estimation.
Modular Layout Grid Guides
This plugin creates a modular layout grid for print layouts
easyPlugin
Plugin which creates a simple QGIS plugin templates ready for install, editing and testing
Samon
Saisie monoscopique sur la BD Ortho
SADI Processor
A plugin to Process Standardized Agricultural Drought Index.
SciPy Filters
Filter collection implemented with SciPy
Data Validator
Prototype for vector data validation
ZUMbox
Urban planning related tools
UA_NGO_PDF_Parser
This plugin parse pdf files with NGO data and create table with result
Marine Tools
Tools for marine habitat mapping
Map tools
QGIS plugin for little helpers in map production
Style Exporter
Plugin export styles of selected layers to individual file with name same as layers name.
Aino
AI assistant to download data from OSM
gis3d
This plugins generates a 3D model based on the inputs
Zonal Exact Extract
Zonal Statistics of rasters using Exact Extract library
Verkeersborden
Import dutch traffic signs.
NVDB Les
NVDB (Norwegian Administration Road Database) it’s a plugin to analyse and manipulate road objects, like (road references, trees, light poles, traffic signs, construction area, smart devices like IP Camera, tunnels, bridges, etc)
Fluvial Corridor Toolbox
Fluvial Corridor Toolbox
CIGeoE Reshape Features 3D
Reshape a feature in 3D
Pixel Purity Index
Pixel Purity Index algorithm
C-GEO Wizualizacja GML demo
Wtyczka wczytuje oraz wizualizuje dane EGiB, GESUT, BDOT500 zapisane w plikach GML.
pqkmeans-clustering
This clustering algorithm is a quantized version of the K-Means algorithm that is memory and computationaly more efficient.
HedgeTools
HedgeTools is a plugin for QGIS designed to extract and characterize hedges, aiming to streamline field efforts by providing information about hedge health.
PyXel_Sync
PyXel_Sync
SmartSDI
Wtyczka SmartSDI (Geo-System) PL: Pobieranie danych wektorowych: działki, budynki, adresy EN: Downloading vector data for Poland: parcels, buildings, addresses
Quick_search
Quick_search
Environmental Data Retrieval
Environmental Data Retrieval QGIS plugin
DigiAgriApp
Plugins to work with DigiAgriApp server
QTalsim
This plugin creates hydrological response units (HRUs) suitable for Talsim (http://www.talsim.de/) and allows users to connect to a Talsim DB.
RubberSheetingEtc
Provides Rubber Sheeting and Two Point Transformations, storing to PostGIS, Oracle and MS SQL. The Rubber Sheeting algorithm uses supplied Shift Vectors and calculates the weighted average shift from the 10 nearest Shift Vectors. The Two Point Transformations handles themes with and without a CRS.

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New interactive trajectory plots for MovingPandas & experiments on their interpretation using ChatGPT 4o

With the release of GeoPandas 1.0 this month, we’ve been finally able to close a long-standing issue in MovingPandas by adding support for the explore function which provides interactive maps using Folium and Leaflet.

Explore() will be available in the upcoming MovingPandas 0.19 release if your Python environment includes GeoPandas >= 1.0 and Folium. Of course, if you are curious, you can already test this new functionality using the current development version.

This enables users to access interactive trajectory plots even in environments where it is not possible to install geoviews / hvplot (the previously only option for interactive plots in MovingPandas).

I really like the legend for the speed color gradient, but unfortunately, the legend labels are not readable on the dark background map since they lack the semi-transparent white background that has been applied to the scale bar and credits label.

Speaking of reading / interpreting the plots …

You’ve probably seen the claims that AI will help make tools more accessible. Clearly AI can interpret and describe photos, but can it also interpret MovingPandas plots?

ChatGPT 4o interpretations of MovingPandas plots

Not bad.

And what happens if we ask it to interpret the animated GIF from the beginning of the blog post?

So it looks like ChatGPT extracts 12 frames and analyzes them to answer our question:

Its guesses are not completely off but it made up the facts such as that the view shows “how traffic speeds vary over time”.

The problem remains that models such as ChatGPT rather make up interpretations than concede when they do not have enough information to make a reliable statement.

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