The latest outputs from researchers, alumni and friends at the UCL Centre for Advanced Spatial Analysis (CASA).
Anyone working with geospatial data, had probably encountered at some point the need for geocoding. The task of transforming an address (e.g.: a placename, city, postcode) into a pair of coordinates (e.g.: a point geometry) is called forward geocoding, while … Continue reading
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »As a reaction to the record high of fuel prices, the Portuguese government has updated the IVAucher program, to allow each citizen to recover 10 cents per each liter of fuel spent, up to a maximum of 5 EUR/month. This … Continue reading →
Continue reading »Almost a year ago, I heard the term DevRel for the first time when Sara Safavi, from Planet gave a talk at CodeOp and use that word to describe her knew role. I knew Sara as a developer, like myself, … Continue reading →
Continue reading »Almost a year ago, I heard the term DevRel for the first time when Sara Safavi, from Planet, gave a talk at CodeOp and used that word to describe her new role. I knew Sara as a developer, like myself, … Continue reading →
Continue reading »Recently, I have been teaching a Full-stack development bootcamp at CodeOp (great experience!). When the students reached project phase, I was very pleased to see a lot of interest in using maps. And that is easy to understand, right? geospatial … Continue reading →
Continue reading »Recently, I have been teaching a Full-stack development bootcamp at CodeOp (great experience!). When the students reached project phase, I was very pleased to see a lot of interest in using maps. And that is easy to understand, right? geospatial … Continue reading →
Continue reading »I have always dreamed about doing some contribution towards improving the gender balance in technology, which as you may know, is far from ideal. Fortunately the opportunity arose, when Katrina Walker has invited me to teach the “Data Analytics” bootcamp … Continue reading →
Continue reading »I have always dreamed about doing some contribution towards improving the gender balance in technology, which as you may know, is far from ideal. Fortunately the opportunity arose, when Katrina Walker has invited me to teach the “Data Analytics” bootcamp … Continue reading →
Continue reading »Trading crypto currency offline1, in person, is the quickest way of acquiring/selling crypto coins. It is also the only way of not exposing any identity information. This post presents a platform for finding buyers/sellers for crypto currencies in a certain … Continue reading →
Continue reading »Trading crypto currency offline1, in person, is the quickest way of acquiring/selling crypto coins. It is also the only way of not exposing any identity information. This post presents a platform for finding buyers/sellers for crypto currencies in a certain … Continue reading →
Continue reading »In some ways, docker can be seen as the holy grail of DevOps: develop locally, ship everywhere. Although it is still a relatively recent technology, docker’s adoption curve has been so steep that it has become almost a standard-de-facto in … Continue reading →
Continue reading »In some ways, docker can be viewed as the holy grail of DevOps: develop locally, ship everywhere. Although it is still a relatively recent technology, docker’s adoption curve has been so steep that it has become almost a standard-de-facto in … Continue reading →
Continue reading »The Open GeoPortal is a Free and Open Source framework for rapidly discovering, previewing and retrieving curated geospatial data from multiple repositories. It implements a modular architecture, including a database, a search engine and several web applications. While it can … Continue reading →
Continue reading »The Open GeoPortal is a Free and Open Source framework for rapidly discovering, previewing and retrieving curated geospatial data from multiple repositories. It implements a modular architecture, including a database, a search engine and several web applications. While it can … Continue reading →
Continue reading »If you ask me which sort of women are coders, I would say any. It is a fact that despite recent efforts, women are still under represented in IT. Although I think that to change this it is essential to … Continue reading →
Continue reading »If you ask me which sort of women are coders, I would say any. It is a fact that despite recent efforts, women are still under represented in IT. Although I think that to change this it is essential to … Continue reading →
Continue reading »In this presentation I share some “lessons learned”, through ups & downs in a “journey” to implement a microservices architecture using the docker framework. My overall feeling is that although it has been sometimes a “bumpy” road, the microservices paradigm … Continue reading →
In this presentation I share some “lessons learned”, through ups & downs in a “journey” to implement a microservices architecture using the docker framework. My overall feeling is that although it has been sometimes a “bumpy” road, the microservices paradigm … Continue reading →
Continue reading »
If you are a PyQGIS developer, you probably already stumbled upon a situation where you needed to look at the signature of a QGIS function, and you dive into the C++ documentation or source code. This is not the friendliest … Continue reading →
If you are a PyQGIS developer, you probably already stumbled upon a situation where you needed to look at the signature of a QGIS function, and you dive into the C++ documentation or source code. This is not the friendliest … Continue reading →
Continue reading »In a previous blog post, I presented QGIS enhancement #91, which aims at providing the infrastructure in QGIS to author, consume and share standards-based metadata (e.g.: ISO). In this post I would like to focus on a specific WP which … Continue reading →
Support to standards based metadata (e.g.: ISO) has been greatly missed in QGIS. We would like for that to no longer be the case in QGIS 3.0, with this enhancement proposal. This blog post focuses on WP3: “QGIS Metadata Store”, … Continue reading →
GeoNetwork is a FOSS catalog for geospatial information. It is used around the world by organizations such as FAO, the Dutch Kadaster or Eurostat, just to mention a few. As any software service, it may not be trivial to install … Continue reading →
Lately I have been working a lot with docker, the new kid on the block on cloud computing, which is winning the heart of sysadmins, as well as developers. The main idea is to setup a Spatial Data Infrastructure, something … Continue reading →
My PechaKucha talk at DataBeers : “Visualizing Geolocated Tweets: a Spatial Data Mining Approach”.
Cluster explorer is a piece of software I was working on, which blends machine learning and GIS to produce a cluster visualization on top of a virtual globe. The virtual globe uses NasaWorldWind, a Java framework for 3D geo-visualization based … Continue reading →
This time I’m at the Workshop: “Data Visualization from Different Universes”, presenting some work regarding the visualization of Tweets, using a combination of machine learning and GIS.
And here is the actual talk, which contains an overview of approaches regarding Data, Big Data, and Big Spatial Data, in these fast pace days…
My presentation on the “Conference on Advanced Spatial Modelling and Analysis” consisted in some thoughts regarding Big Spatial Data, and how to handle them in terms of modern technologies. It was great to see such a motivated crowd from all … Continue reading →
Recently I had another challenge, which I believe has the characteristics to be a common problem. I have a table with attributes, in CSV format, one of which is geospatial. CSV is a structured format for storing tabular data (text … Continue reading →
A lot of people and institutions have already made the jump of providing data in JSON, which is great, since it is an inter-operable standard and a semi-structured form of data. However when it comes down to geographic data, standards … Continue reading →
Inspired by @jeroenhjanssens, author of the Data Science Toolbox, I decided to give a go to one of the most unfriendly data sources: An XML API. Apart from its rich syntax with query capabilities, I tend think XML is highly … Continue reading →
Together with a colleague, I have been involved in the “hard” task of drafting a diagram (or a “mindmap”) that would connect logically, some of the “buzz words” regarding “data science”; e.g.: artificial intelligence, machine learning, data mining, recommenders. Moreover … Continue reading →
Is PostgreSQL/PostGIS suitable for Big Data? This is a question I have been asking myself for a while, and I now have the opportunity to test it with a PostgreSQL instance from Amazon Web Services (AWS); after all, if such … Continue reading →
On a previous post, I expressed my concerns regarding the results of OPTICSxi clustering. Namely, I mentioned an “annoying” spike effect, that turns out massively almost at any simulation (so massively that it is almost a “feature”). A post in … Continue reading →
For a while now, I have been working on the application of the OPTICS clustering, for user generated data in cities. OPTICS is a density-based algorithm that attempts to overcome some of the “weaknesses” of its most famous counterpart: DBSCAN. … Continue reading →
Recently I have been looking into different algorithms for the clustering geospatial data. The problem of finding “similar” regions in space, is a very interesting one, since this type of classification enables a whole range of applications (e.g.: urban development, … Continue reading →