Welcome to Planet OSGeo

July 15, 2024

July 14, 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.

by adelcidesvGIS at July 14, 2024 06:46 PM

July 13, 2024

Reinder spotted this atlas in a bookshop in Lyons, “saw this Asia-Australia centered atlas cover in Librairie Passages, in Lyon, France.”

Centering the world map on Asia and Australia (which places the Americas to the east) reminds us thatthe adoption of the Prime Meridian through Greenwich was a choice by European cartographers not some inalienable geographic rule.

MapsintheWild How goes the World?

by Steven at July 13, 2024 09:00 AM

July 12, 2024

El pasado mes de junio se llevó a cabo el IOT Solutions Congress en la ciudad de San Pablo, Brasil, donde más de 5.000 personas se reunieron para ver las soluciones más avanzadas en la industria del Internet de las Cosas (IOT).

El Internet de las Cosas es un concepto tecnológico que se resume como una red de dispositivos interconectados, ya sea a través de internet u otro tipo de redes, con el fin de enviar y recibir información en tiempo real y de forma automatizada.

Como muchas tecnologías innovadoras, el IOT tiene una amplia variedad de aplicaciones y usos, y esto se vió reflejado en la diversidad de las empresas que se acercaron al evento de San Pablo para conocer más sobre el tema. Se destacó la presencia de empresas de la industria petroquímica, minera, agrícola, de la construcción y organismos gubernamentales.

En esta ocasión KAN participó del evento con un stand y con un espacio en el Startup Stage, donde Ariel Anthieni (CEO) dió una charla sobre las aplicaciones y beneficios de los Gemelos Digitales (Digital Twins) con un enfoque particular en el monitoreo de tránsito de las ciudades.

Un Gemelo Digital es una réplica digital altamente precisa de objetos de todo tipo, desde vehículos y turbinas hasta ciudades enteras, cuyo fin es el de crear simulaciones que puedan optimizar el uso de dichos objetos. El mayor valor que otorga un Gemelo Digital es que utiliza datos reales para llevar a cabo estas simulaciones.

Primero se recolectan los datos utilizando dispositivos de telemetría IOT (sensores térmicos, caudalímetros, acelerómetros, etc.), luego se procesa esta información y finalmente se vuelca sobre el modelo virtual. Utilizando este modelo se pueden realizar diferentes tipos de simulaciones, analizar cada uno de los distintos escenarios y buscar mejoras para optimizar los recursos que se disponen.

Por ejemplo, utilizando sensores de vibración y un gemelo digital, se puede analizar el uso real de una bomba de agua, simular distintos escenarios y establecer cuándo debe hacerse el mantenimiento preventivo óptimo según los datos obtenidos.

Para el caso de las ciudades, Ariel explicó en su charla que los Gemelos Digitales permiten ayudar a los organismos gubernamentales a ver de forma anticipada el impacto que determinadas políticas públicas pueden tener en la organización de la ciudad.

Ariel lo explica en dos ejemplos sencillos: Conociendo el movimiento real de los colectivos en las ciudades, se puede simular el impacto que tendrán en sus recorridos si una avenida principal es clausurada completamente. Esto permite al gobierno buscar la reorganización óptima y desplegar eficazmente a los equipos de tránsito que llevarán a cabo la tarea.

Otro ejemplo se ve en la ciudad de Japón, donde el gobierno utiliza Gemelos Digitales para realizar simulaciones de terremotos y tsunamis para mejorar su capacidad de respuesta y recuperación ante los desastres naturales.

En conclusión, KAN cumplió con su cometido en el congreso de IOT logrando mostrar una solución vanguardista dentro de la industria IOT y dejando en claro que es una de las startups a seguir.

by Kan Territory & IT at July 12, 2024 05:35 PM

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.

by underdark at July 12, 2024 05:23 PM

Honorable Mr. Jesús Gómez, Undersecretary of Transport and Sustainable Mobility, distinguished authorities, ladies and gentlemen,

It is an immense honor and a profound satisfaction for me to receive, on behalf of the gvSIG Association, the first National Geographic Science Award ever given in Spain. We humbly confess that being the first to receive it, with so many deserving individuals and entities, further elevates the importance we place on this award. Additionally, it ensures that you will hear the best acceptance speech for the award to date.

This award represents an extraordinary recognition of the trajectory and dedication of a group passionate about geography, technology, and knowledge, understood as drivers of change.

Let us begin with the term that names this award, geography. Tim Marshall, in his excellent essay “Prisoners of Geography,” concluded that while geography does not dictate the development of all events, since great ideas and leaders are part of the push and pull of history, all must act within the confines that geography sets. Former U.S. President Barack Obama told us that geography was much more than putting names on a map; it was about understanding reality. Those who have listened to us over the years well know that in the gvSIG Association, we have always affirmed that reality manifests in the territory. Everything exists to the extent that it is in a place and how it relates to what is around it. Therefore, the geographic or spatial dimension of things is a fundamental attribute for managing reality. It was in the past, it will be in the future, and undoubtedly, it is in the present.

This leads us to talk about the second concept that excites us, technology. With more than two decades into the 21st century, we must all be aware that technology permeates every productive, economic, academic, and social process to the point of becoming an indispensable tool. Without fear of being wrong, I could say that there are more technological devices in this room than people. We cannot imagine that management of reality we spoke of without technology. We know that Spain and the European Union are significantly betting on science, technology, and innovation as fundamental pillars for their growth and sustainable development. For our part, in the gvSIG Association, we have always talked about technology as a strategic sector and will continue to insist on it as long as necessary. Geographic information management technologies, encompassed under the concept of geomatics, are those that allow us to analyze, understand, and manage the territory, geography.

Geomatics is applied in managing infrastructures of all kinds, in sectors such as the environment, security, energy, mobility, education, health, agriculture, tourism,… it is transversal to countless themes and applicable to countless geographies.

Thus, we should begin to be aware that being dependent on a strategic sector is a manifest weakness. Who would want our administrations, our universities, our companies, those that work in and with the territory, to be technologically dependent? Herein lies much of the importance and success of the gvSIG project: building and developing technologies for managing spatial data, its geographic dimension, with free software. Betting on technological sovereignty by promoting solutions that grant all rights and freedoms to their users. That avoid any dependence not only on technologies but on the owners of these. Not only that, the gvSIG Association has fostered its own industrial fabric, specialized in geomatics, making the Valencian Community and Spain a reference center internationally. Today, not only are gvSIG-branded technologies used worldwide, but today, Spanish companies carry out some of the largest projects related to geographic information systems around the globe. I conclude this section by reaffirming that betting on our own and free technologies can be, undoubtedly is, a strategic decision of the highest order.

We link this to the last concept related to the gvSIG Association’s activity, knowledge. And at this point, it might be worthwhile to take a look back at the history of our entity.

Let us not forget that if we are here today, receiving this important recognition, it is because one day a public administration, the Generalitat Valenciana, decided to take the first step. The gvSIG project came to light in 2004, with a first version of a software product that today is part of a complete catalog of geomatics solutions. Today, not only is it talked about, but legislation in Spain and Europe promotes reuse, sharing, interoperability among administrations, and the development of our own technologies. At the beginning of this century, it was not so. The Generalitat Valenciana not only took the first step but knew how to share the achievements with the entire international community and energize what would end up being the gvSIG Association.

Today, it continues to bet on the project, using gvSIG technologies in more and more areas, from agriculture to road safety, from industry to sustainable mobility, contributing to its development and also reusing all the technological improvements that are continuously consolidated in the project. Just last week, the Danish Agency for Digital Government published a report highlighting the Generalitat Valenciana as the main success case for the promotion of free software technology by a public administration. It spoke of gvSIG.

Therefore, this award, this recognition, is largely shared with the Generalitat Valenciana and, in particular, with its Directorate General of Information and Communication Technologies.

At the end of 2009, the gvSIG Association was born. A group of people, companies, and entities decided to scale the impact of the project. To ensure its sustainability on the one hand, to consolidate an incipient industrial fabric on the other. The premise might seem simple, but it was not easy to implement. Bringing the values of free software to the economy. Developing a new business model – a concept much talked about – based on collaboration, shared knowledge versus speculation with acquired knowledge, solidarity versus rivalry. From the dates, you may guess that we were born in the midst of a crisis, in difficult times, with few resources but with great enthusiasm. In those early years, we made the English proverb “A smooth sea never made a skilled sailor” our own. It was necessary to dream, and believing in our dreams has brought us here. After this time, we do not forget to keep dreaming.

Today, in 2024, the gvSIG Association is an entity recognized worldwide. The technology derived from a project born, let us not forget, on the periphery of Europe is used in more than 160 countries. We participate and collaborate with the main forums and organizations that promote Geographic Sciences, open knowledge, and interoperability. We have received international awards from entities such as NASA or the European Commission, which last year recognized gvSIG as the most important free software project in Europe. We have developed a suite or catalog of free technologies that allow addressing any need for information management with a geographic dimension, for any organization. We collaborate on R+D+I projects with dozens of universities, scientific publications citing the use of gvSIG are multiplying. gvSIG’s social networks have a notable influence with thousands of followers. And regarding that new business model we talked about… we have promoted the consolidation of Spanish companies and developed projects in more than 30 countries for entities of all kinds, from the United Nations to small municipalities, from large private sector energy companies to NGOs. We are, in short, an international reference center.

Our history, therefore, pivots around knowledge. Developing it to share it, to reduce asymmetries between territories, to generate quality economy, to reaffirm Antonio Machado’s saying that “in matters of culture and knowledge, you only lose what you keep; you only gain what you give.”

I want to recall an anecdote that well reflects this phrase. An example of those other values, not quantifiable, that occur around the model of knowledge, development, and business we promote in the gvSIG Association.

At an event organized by Itaipú Binacional in Foz do Iguaçu, Brazil, we were invited to give training courses both to the staff of the hydroelectric plant and, openly, to university students who wanted to attend. In the first training course, a male and a female student sitting in the front row asked the trainer (in this case, it was me) if he could put them in touch with the event organizers to ask for affordable accommodation. Then they told me their story…

At the University of Asunción, Paraguay, where they were studying, the students collectively requested the faculty to give them training in gvSIG, as they considered it a strategic investment for the country to have engineers trained in free software technologies, with all the advantages that entails. The faculty, familiar only with non-free products, refused. Among all the students, it was decided to collect funds to allow one male and one female student to make the long journey to Foz do Iguaçu, receive training, and thus, upon returning, be able to replicate the training for all the students. Today, several of those students hold responsible positions in the country.

If we have come this far, it is because many people think there can be other approaches, other ways of doing things. Therefore, to conclude, I want to thank all the people who were, are, or will be in the gvSIG project: workers, entities, communities… and especially to the colleagues for their effort and commitment, who have always put themselves at the service of the project and never put the project at their service. Our future will be full of maps, standards, algorithms, and lines of code, but above all, of people working towards a common goal. Thank you very much.

by Alvaro at July 12, 2024 06:17 AM

July 11, 2024

July 10, 2024

July 09, 2024

July 08, 2024

We once again attended the 56th edition of the International Snowmobile Congress, held this year in the picturesque state of Wisconsin. It was a great opportunity to engage with key figures in our industry.

As Bronze Sponsors, we reinforced our commitment to the snowmobiling community. Throughout the congress, we had meaningful face-to-face discussions with clients and explored potential partnerships with new associations interested in joining the evTrails family.

These events are always a highlight for us, enabling us to not only network within the industry but also to gain valuable insights into the needs and preferences of trail managers, particularly regarding smart mapping and related technologies.

We were thrilled to receive positive feedback from many clients who visited our booth, expressing their appreciation for our trail system and how it simplifies their daily responsibilities as trail managers. Additionally, we showcased our latest feature, Drive Up, which enhances the rider’s navigation experience through seamless driving mode integration.

The congress also provided us with invaluable client feedback on potential enhancements to our app and solutions. We returned home inspired by numerous ideas for new features that we are eager to develop and share with you.

Meanwhile, enjoy these photos of our team participating in the diverse activities at the 56th International Snowmobile Congress!

The post Recap from the 56th International Snowmobile Congress appeared first on Mapgears.

by ablanchette at July 08, 2024 12:32 PM

Between April and May there were 33 new plugins 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:

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.

We would like 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!

by adelcidesvGIS at July 08, 2024 07:04 AM

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.

by underdark at July 08, 2024 06:00 AM

July 07, 2024

Maarten Pullen sent me this picture of a shopping bag with a map of Nikko, Japan.

“Yesterday I stumbled upon a plastic bag from Nikko, Japan, with several tourist spots on it.  I wrote a little blog post (in Dutch, but can be translated) about the background of the map

https://www.filmvanalledag.nl/2024/06/23/terug-naar-nikko/

Here is a rough translation of the first part of Maarten’s blog post:

“For some time now I have been following Maps in the Wild, a collective that collects maps for aesthetic purposes in the broadest form. The core idea is that printed maps have less functional use thanks to digitization and are therefore used more for aesthetic reasons.

Or it’s just an excuse to collect a lot of eye-catching cards, which is also a good idea in my opinion.

A plastic bag from Japan came from the attic. And suddenly I realized that you can also translate it. And it also turned out to have a schematic map, showing, among other things, a bridge, temples, a ski resort and a waterfall (or Onsen?).

I got the bag in 2010 in Nikko, Japan”

And that is a perfect Map in the Wild! Thanks Maarten

MapsintheWild Nikko on a Shopping Bag

by Steven at July 07, 2024 09:00 AM

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.

by Marco Bernasocchi at July 07, 2024 04:11 AM

July 06, 2024

This 3D map of Jerusalem in the 19th century is massive and spectacular. It was brilliantly lit to take you through a day in the life of the city from the sun rising in the east through the day to sunset.

“Stefan Illés, an Austro-Hungarian Catholic, arrived in Jerusalem in 1864 and worked as a bookbinder at the Franciscan publishing house. Illés built a model of Jerusalem that was exhibited in the Ottoman Pavilion at the World Expo in Vienna in 1873. The model, which was highly acclaimed, was displayed throughout Germany and Switzerland. In 1878, it was purchased by a distinguished family from Geneva. Illés’s impressive model is cartographically accurate and is considered a reliable scientific source for the history and geography of Jerusalem in the 19th century.”

And that finishes my maps in the wild selection from King David’s Tower. There were loads more maps showing the evolution of the city through the different eras of history from the Egyptian period through Assyrian, Babylonian, Persian, Islamic, Crusader and Ottoman eras to the modern day. Well worth a visit.

MapsintheWild King David’s Tower 7 – Stefan Illes 3D Map of Jerusalem

by Steven at July 06, 2024 09:00 AM

The PostGIS Team is pleased to release PostGIS 3.5.0alpha2! Best Served with PostgreSQL 17 Beta2 and GEOS 3.12.2.

This version requires PostgreSQL 12 - 17, GEOS 3.8 or higher, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. SFCGAL 1.4-1.5 is needed to enable postgis_sfcgal support. To take advantage of all SFCGAL features, SFCGAL 1.5 is needed.

3.5.0alpha2

This release is an alpha of a major release, it includes bug fixes since PostGIS 3.4.2 and new features.

by Regina Obe at July 06, 2024 12:00 AM

July 05, 2024

The Madaba mosaic map is one of the oldest surviving maps of Jerusalem.

“A famous Byzantine mosaic map, discovered in 1896 in the town of Madaba in Jordan. The mosaic, dated to the sixth century, emphasizes Christian sites throughout the biblical lands. The map bears the names of the sites in Greek. In the center of the map, greatly enlarged, is a map of Christian Jerusalem”

Cartographers have superimposed an image of the Madaba map onto a modern map of the old city of Jerusalem and found that the mosaic was remarkably accurate

MapsintheWild King David’s Tower 6 – The Madaba Map

by Steven at July 05, 2024 09:00 AM

July 04, 2024

The PostGIS Team is pleased to release PostGIS 3.5.0alpha1! Best Served with PostgreSQL 17 Beta2 and GEOS 3.12.2.

This version requires PostgreSQL 12 - 17, GEOS 3.8 or higher, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. To take advantage of all SFCGAL features, SFCGAL 1.5.0+ is needed.

3.5.0alpha1

This release is an alpha of a major release, it includes bug fixes since PostGIS 3.4.2 and new features.

by Regina Obe at July 04, 2024 12:00 AM

July 03, 2024

July 02, 2024

 The GeoTools team are pleased to announce the release of the latest stable version of GeoTools 29.2     geotools-29.2-bin.zip     geotools-29.2-doc.zip     geotools-29.2-userguide.zip     geotools-29.2-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer

by Ian Turton (noreply@blogger.com) at July 02, 2024 04:06 AM

July 01, 2024

Queremos compartir la experiencia de nuestro CEO, Ariel Anthieni, en Expocuritiba 2024, la Feria Internacional de Ciudades Inteligentes. Durante los días 17 al 22 de marzo, Ariel tuvo el privilegio de representar a nuestra empresa en este evento único que reunió a destacados actores en el ámbito de las ciudades inteligentes en la hermosa ciudad de Curitiba, Brasil.

Curitiba es reconocida a nivel mundial como un ejemplo de ciudad inteligente debido a sus innovadoras políticas urbanas que han transformado la calidad de vida de sus habitantes. Su eficiente sistema de transporte público, sus áreas verdes bien planificadas y su enfoque en la sostenibilidad la convierten en un modelo a seguir para otras ciudades.

Durante el evento, Ariel tuvo el honor de cruzar unas palabras con Rafael Greca, el alcalde de Curitiba. Se sorprendió gratamente por su calidez e increíble predisposición para conversar y conocer a quienes estábamos allí.

Nuestro CEO participó activamente en las diferentes actividades de la feria, incluyendo la asistencia a charlas y conferencias con reconocidos expertos en el campo de la innovación urbana, la visita a espacios temáticos y la exploración de soluciones tecnológicas innovadoras para el desarrollo sostenible de las ciudades. Tuvo la oportunidad de presentar al MapViewer, un visor digital diseñado por Kan Territory & IT para la supervisión y gestión virtual de las ciudades. Este permite monitorear y controlar diferentes aspectos de ese lugar, como el flujo del transporte público, la actividad de los centros de salud y otros servicios esenciales, a través de la recopilación y visualización de datos geoespaciales.

Ariel también destacó que el MapViewer utiliza un enfoque de catastro multifiduciario, capaz de manejar información de múltiples fuentes y tipos, como datos catastrales, topográficos y de infraestructura, proporcionando así una vista integral de la ciudad. Además, habló sobre la evolución digital de esta tecnología, introduciendo el concepto de «gemelos digitales«, que son representaciones virtuales de una ciudad. Con esta herramienta, los administradores y planificadores urbanos pueden simular escenarios hipotéticos y tomar decisiones más informadas para el desarrollo sostenible.

Sin dudas, su actividad en Expocuritiba 2024 fue una oportunidad invaluable para conocer las últimas tendencias en tecnología urbana, establecer contactos estratégicos y compartir conocimientos con otros líderes en el ámbito de las ciudades inteligentes.

Felicitamos a Ariel por su destacada participación en este evento tan significativo y esperamos seguir contribuyendo al desarrollo de ciudades más inteligentes y sostenibles en el futuro. Muchísimas gracias Lucía Bellocchio por haberlo hecho posible ¡Hasta el próximo año!

by Camila Maquieira at July 01, 2024 07:37 PM

Bunting’s Clover Map is an archetypal map of the world from a time when only three continents were known to Europeans – Europe, Africa and Asia.

Die ganze Welt in einem Kleberblat
Woodcut Map showing three continents: Europe, Asia and Africa in the form of a clover leaf with the representation of Jerusalem in the center. America on the lower left corner.
From: Buenting, Heinrich. Itinerarium Sacrae Scripturae. (Travel book covering the entire Holy Scripture) Helmstadt, Jacobus Lucius, 1585. Part I, between pp. 4-5

https://www.nli.org.il/en/maps/NNL_ALEPH990023684090205171/NLI#$FL7074006

Coincidentally I bought a wooden puzzle based on this clover map in a craft market. Apparently the solution requires over 250 moves, I am still working on it! (this is the solved state)

MapsintheWild King David’s Tower 2 – The Clover Map

by Steven at July 01, 2024 09:00 AM

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.

by adelcidesvGIS at July 01, 2024 07:04 AM

June 30, 2024

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.

by underdark at June 30, 2024 12:52 PM