In our last Baltic LINes partner meeting in Helsinki in March 2017, HELCOM asked partners to add the name tag of each layer in all WMS services. This is very important to design the prototype MSDI.
The Interreg project Baltic LINes (2016-2019) aims at developing planning proposals for linear infrastructures (cables and pipelines), fixed installations and shipping lanes.
The role of HELCOM is to develop the first prototype Baltic Marine Spatial Data Infrastructure (MSDI), a system to access data from original providers.
I gave this presentation in the 2nd Baltic MSP Forum in Riga in November 2016.
Maritime Spatial Planning in the BalticSea - a love storyManuel Frias
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. It is a love story between two intergovernmental organizations coordinating MSP in the Baltic Sea: HELCOM and VASAB
Baltic Sea Action Plan & Maritime Spatial Planning - Do they make a good match?Manuel Frias
What does it say the Baltic Sea Action Plan about Maritime Spatial Planning? What is the origin of the HELCOM-VASAB MSP Group? All these questions and more resolved in one short and informative presentation. I gave it on 1 November in Riga (Latvia) under the PartiSEApate project
Presentation given in the Finnish Ministry of the Environment in September 2012. The audience was a working group preparing the national Marine Strategy Framework Directive.
Working with Maritime Spatial PlanningManuel Frias
Presentation for the Erasmus Mundus Master on MSP in Seville (Spain) in February 2014. The aim of the talk was to describe briefly how countries work work MSP in the Baltic Sea and to show some experiences of professionals working with different tasks related to Maritime Spatial Planning
Working with Maritime Spatial Planning in the Baltic Sea - reasons to be opti...Manuel Frias
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. I tried to give students reasons to be optimist about their professional future.
Why do we do Maritime Spatial Planning in the Baltic Sea? The Plan Bothnia te...Manuel Frias
Presentation about Maritime Spatial Planning in the Baltic Sea and the Plan Bothnia test case. I gave it as part of the Erasmus Mundus Master Course on Maritime Spatial Planning in Seville (Spain) 3-6 February 2014
The Interreg project Baltic LINes (2016-2019) aims at developing planning proposals for linear infrastructures (cables and pipelines), fixed installations and shipping lanes.
The role of HELCOM is to develop the first prototype Baltic Marine Spatial Data Infrastructure (MSDI), a system to access data from original providers.
I gave this presentation in the 2nd Baltic MSP Forum in Riga in November 2016.
Maritime Spatial Planning in the BalticSea - a love storyManuel Frias
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. It is a love story between two intergovernmental organizations coordinating MSP in the Baltic Sea: HELCOM and VASAB
Baltic Sea Action Plan & Maritime Spatial Planning - Do they make a good match?Manuel Frias
What does it say the Baltic Sea Action Plan about Maritime Spatial Planning? What is the origin of the HELCOM-VASAB MSP Group? All these questions and more resolved in one short and informative presentation. I gave it on 1 November in Riga (Latvia) under the PartiSEApate project
Presentation given in the Finnish Ministry of the Environment in September 2012. The audience was a working group preparing the national Marine Strategy Framework Directive.
Working with Maritime Spatial PlanningManuel Frias
Presentation for the Erasmus Mundus Master on MSP in Seville (Spain) in February 2014. The aim of the talk was to describe briefly how countries work work MSP in the Baltic Sea and to show some experiences of professionals working with different tasks related to Maritime Spatial Planning
Working with Maritime Spatial Planning in the Baltic Sea - reasons to be opti...Manuel Frias
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. I tried to give students reasons to be optimist about their professional future.
Why do we do Maritime Spatial Planning in the Baltic Sea? The Plan Bothnia te...Manuel Frias
Presentation about Maritime Spatial Planning in the Baltic Sea and the Plan Bothnia test case. I gave it as part of the Erasmus Mundus Master Course on Maritime Spatial Planning in Seville (Spain) 3-6 February 2014
Getting data for maritime spatial planning is dificult!Manuel Frias
I gave a 10 min presentation about BASEMAPS, an output of the Baltic LINes project at the 2nd international MSP forum in La Reunion, March 26-29 2019.
The presentation has been adapted to Slideshare.
How HELCOM developed a tool to access decentralized Maritime Spatial Planning data based on a Marine Spatial Data Infrastructure.
An adapted 8 min presentation I gave the 13th February at the BalticLINes final conference "Connecting Seas"
I gave this presentation during the 1st seminar on the use of AIS data. AIS is a tracking system ships have for safety reasons. HELCOM has gathered the data of all HELCOM countries for 10 years. Until now, the regional datasets have not been fully utilized.
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. It is about the story of HELCOM - what is it, how does it protect the Baltic and why.
HELCOM-VASAB group makes Maritime Spatial Planning a reality in the Baltic SeaManuel Frias
HELCOM and VASAB are two well-established intergovernmental organizations which work together for a better Maritime Spatial Plannign in the Baltic Sea.
This presentation was given at the SeaGIS final conference event in Vasa, Finland the 2 August 2014
Presentation held in PartiSEApate workshop in Hamburg on 15 October 2013. The workshop was about Spatial Data Infrastructure and Network Building for Maritime Spatial Planning
Getting data for maritime spatial planning is dificult!Manuel Frias
I gave a 10 min presentation about BASEMAPS, an output of the Baltic LINes project at the 2nd international MSP forum in La Reunion, March 26-29 2019.
The presentation has been adapted to Slideshare.
How HELCOM developed a tool to access decentralized Maritime Spatial Planning data based on a Marine Spatial Data Infrastructure.
An adapted 8 min presentation I gave the 13th February at the BalticLINes final conference "Connecting Seas"
I gave this presentation during the 1st seminar on the use of AIS data. AIS is a tracking system ships have for safety reasons. HELCOM has gathered the data of all HELCOM countries for 10 years. Until now, the regional datasets have not been fully utilized.
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. It is about the story of HELCOM - what is it, how does it protect the Baltic and why.
HELCOM-VASAB group makes Maritime Spatial Planning a reality in the Baltic SeaManuel Frias
HELCOM and VASAB are two well-established intergovernmental organizations which work together for a better Maritime Spatial Plannign in the Baltic Sea.
This presentation was given at the SeaGIS final conference event in Vasa, Finland the 2 August 2014
Presentation held in PartiSEApate workshop in Hamburg on 15 October 2013. The workshop was about Spatial Data Infrastructure and Network Building for Maritime Spatial Planning
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis