Marina Arcasenza - A web storymap of inbound Italian
migration flows
Workshop 16 June 2016
Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
Alessandro Cimbelli - Assessment of the refugee camps
extension from optical satellite images
Workshop 16 giugno 2016
Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
The document describes DataViewer, a module developed by the Geological Survey of Austria to analyze and visualize geological data. DataViewer allows users to query multiple geological datasets at different scales simultaneously using semantic web technologies. It facilitates harmonizing datasets by providing live feedback on how modeling vocabularies and applying them affects the data. DataViewer displays geological maps and points from databases through a web interface that includes faceted filtering, dynamic queries, and export of map images. It links geological concepts and units from the Austrian Thesaurus to international standards like INSPIRE and GeoSciML.
A Knowledge Graph Framework for Detecting Traffic Events Using Stationary Cam...RoopTeja Muppalla
Imagery-based Traffic Sensing Knowledge Graph (ITSKG) framework utilizes the stationary traffic camera information as sensors to understand the traffic patterns. This system extracts image-based features from traffic camera images, adds a semantic layer to the sensor data for traffic information, and then labels traffic imagery with semantic labels such as congestion. This framework adds a new dimension to existing traffic modeling systems by incorporating dynamic image-based features as well as creating a knowledge graph to add a layer of abstraction to understand and interpret concepts like congestion to the traffic event detection system.
This work is presented at the Industrial Knowledge workshop co-located with the 9th International ACM Web Science Conference 2017 on 25th June 2017.
Dear Colleagues,
Call for papers for another Machine Learning special issue of SEG/AAPG Journal of Interpretation focusing on the Seismic Data Analysis has been announced.
We look forward to your contribution.
Vikram Jayaram
Special Section Editor
Interpretation
When deciding on how to describe cultural heritage resources in common exchange formats (e. g. MARC 21, RDF or XML), publishing organisations need to align their content standards with wide-spread, broadly adopted data standards in order to make information exchange as effective as possible.
This presentation from the IFLA Committee on Standards session in Cape Town on August 19, 2015 (2015-08-19) makes that case. There is also an accompanying paper in the IFLA library at http://library.ifla.org/id/eprint/1194
This document discusses IXP-Jedi, a tool and concept created by Emile Aben that uses RIPE Atlas data to measure how many internet paths stay local within a country and pass through internet exchange points (IXPs). It provides an overview of the tool, screenshots of its interactive country-level and IXP views, and discusses how it can benefit regulators, operators, IPv6 advocates, IXP operators, and the RIPE Atlas community. The methodology behind IXP-Jedi and calls to action to improve the tool are also summarized.
OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. OSM maps can be used and edited by anyone without copyright restrictions. Contributors add and update map data from sources like GPS tracks, free government data, and aerial imagery. The raw map data is freely available for any use. OSM aims to create a map that is more frequently updated than commercial options, which are often out of date and cannot be edited by users to fix errors.
Alessandro Cimbelli - Assessment of the refugee camps
extension from optical satellite images
Workshop 16 giugno 2016
Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
The document describes DataViewer, a module developed by the Geological Survey of Austria to analyze and visualize geological data. DataViewer allows users to query multiple geological datasets at different scales simultaneously using semantic web technologies. It facilitates harmonizing datasets by providing live feedback on how modeling vocabularies and applying them affects the data. DataViewer displays geological maps and points from databases through a web interface that includes faceted filtering, dynamic queries, and export of map images. It links geological concepts and units from the Austrian Thesaurus to international standards like INSPIRE and GeoSciML.
A Knowledge Graph Framework for Detecting Traffic Events Using Stationary Cam...RoopTeja Muppalla
Imagery-based Traffic Sensing Knowledge Graph (ITSKG) framework utilizes the stationary traffic camera information as sensors to understand the traffic patterns. This system extracts image-based features from traffic camera images, adds a semantic layer to the sensor data for traffic information, and then labels traffic imagery with semantic labels such as congestion. This framework adds a new dimension to existing traffic modeling systems by incorporating dynamic image-based features as well as creating a knowledge graph to add a layer of abstraction to understand and interpret concepts like congestion to the traffic event detection system.
This work is presented at the Industrial Knowledge workshop co-located with the 9th International ACM Web Science Conference 2017 on 25th June 2017.
Dear Colleagues,
Call for papers for another Machine Learning special issue of SEG/AAPG Journal of Interpretation focusing on the Seismic Data Analysis has been announced.
We look forward to your contribution.
Vikram Jayaram
Special Section Editor
Interpretation
When deciding on how to describe cultural heritage resources in common exchange formats (e. g. MARC 21, RDF or XML), publishing organisations need to align their content standards with wide-spread, broadly adopted data standards in order to make information exchange as effective as possible.
This presentation from the IFLA Committee on Standards session in Cape Town on August 19, 2015 (2015-08-19) makes that case. There is also an accompanying paper in the IFLA library at http://library.ifla.org/id/eprint/1194
This document discusses IXP-Jedi, a tool and concept created by Emile Aben that uses RIPE Atlas data to measure how many internet paths stay local within a country and pass through internet exchange points (IXPs). It provides an overview of the tool, screenshots of its interactive country-level and IXP views, and discusses how it can benefit regulators, operators, IPv6 advocates, IXP operators, and the RIPE Atlas community. The methodology behind IXP-Jedi and calls to action to improve the tool are also summarized.
OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. OSM maps can be used and edited by anyone without copyright restrictions. Contributors add and update map data from sources like GPS tracks, free government data, and aerial imagery. The raw map data is freely available for any use. OSM aims to create a map that is more frequently updated than commercial options, which are often out of date and cannot be edited by users to fix errors.
Maricopa County Elections Department uses GIS software and spatial databases to manage electoral data and processes. This includes assigning voters to districts based on their addresses, determining which precincts voting districts fall within for ballot creation, and creating customized desktop and web applications for redistricting, mapping election results and minority language support. Spatial queries and analysis in GIS helps optimize operations and ensure voters receive correct ballots and information.
Geostatistics Portal - the multitool for statistics on mapsMirosław Migacz
The Geostatistics Portal provides access to Polish statistical data through maps and network services. It currently offers census results and data from the Local Data Bank using choropleth and diagram maps. INSPIRE-compliant services include statistical units and population distribution. Future plans include advanced spatial analysis on microdata, publishing data on grids, lower level population maps, expanding the Local Data Bank, new visualization methods, time series analysis, and mobile applications. The portal aims to be a comprehensive tool for visualizing and analyzing Polish statistical data spatially.
This paper is written based on the researches of models and its applications in Real-Time Traffic Information. Firstly, this would be introduced briefly about traffic information system and some traffic sensors which are currently used to record and send data to centre. The major part will focus on explanation of models for estimation and prediction in Real-Time Traffic Information. Some standard models such as Regression Model, Bayesian Model and Probabilistic Graphical Model are applied to figure out many indicators in traffic system (the Level of Service, road network, congestion, etc.) and run processes of predictions, then, send the solutions to drivers or other relevant. Besides these models, some experiments from the project of Mobile Millennium which also helps to explain how these models apply in Real-Time Traffic Information would be introduced. Finally, some specified applications which are widely used in the world are also mentioned as the newest approaches in Real-Time Traffic Information.
Kharita: Robust Road Map Inference Through Network Alignment of Trajectoriesvipyoung
In this work we address the challenge of inferring the road network
of a city from crowd-sourced GPS traces. While the problem has been
addressed before, our solution has the following unique characteristics:
(i) we formulate the road network inference problem as a network
alignment optimization
problem where both the nodes and edges of the network have to be inferred,
(ii) we propose both an offline (\kha) and an online (\khastar) algorithm
which are intuitive and capture the key aspects of the optimization
formulation but are scalable and accurate. The \khastar in particular is, to
the best of our knowledge, the first known online algorithm for map inference,
(iii) we test our approach on two real data sets
and both our code and data sets have been made available for research
reproducibility.
Flink Forward Berlin 2018: Piotr Wawrzyniak & Jarosław Legierski - "Using Apa...Flink Forward
Mining large streams of real time data has recently grown to one of the key challenges for Big Data community in both, industry and academia. At the same time the concept of Smart City has gained significant acclaim by providing user-oriented services in the modern cities. One of the key part of the smart city is Intelligent Transportation System. Usual consideration of ITS implementation assumes the large amount of various sensor, both stationary and mobile, being deployed in the city area. Such sensors might in particular include video cameras, traffic detectors, or devices attached to various public transport means. The studies proved the usefulness of this data streams for incident detection, traffic monitoring and congestion detection, optimization of public transport schedules and operations. In this speech we present the architecture of complex system developed within EU-H2020 project VaVeL and deployed in a cluster operating in the City of Warsaw. We will discuss in details the core components of the stream and batch processing pipelines, with particular focus on its implementation, cluster-based deployment and integration, fault detection and maintenance.
R is a free and open-source programming language and software environment for statistical analysis and graphics. It has over 9,000 packages that allow users to perform spatial analysis and visualization. R allows users to integrate multiple analyses in one software, link to different resources, and build various outputs. It is useful for spatial analysis tasks like interpolation of data, producing density maps, and examining residuals without being a "black box." R and R Studio allow reproducible research through R Markdown and sharing of workflows and analysis tools through packages.
This thesis develops a methodological framework for evaluating public accessibility to services within a city. The framework collects data on public services and builds indicators to measure accessibility for different areas. It then applies statistics to understand resident profiles and examines both the number and minimum distances of services for each area. Finally, it combines these analyses to construct an ideal accessibility model and applies the model to Athens, identifying conclusions, deficiencies, and ways to improve future urban planning and the framework.
OpenStreetMap is a collaborative project to create a free editable map of the world. It began in 2004 and now has over 1 million users contributing data. The Humanitarian OpenStreetMap Team contributes mapping data for humanitarian and development contexts. OpenStreetMap data can be used for routing, downloaded for use in other projects, and edited in apps or through the website. Analysis has shown the positional accuracy of OpenStreetMap data is around 6 meters where there is significant contributor activity and quality assurance.
Timothy Trainor discusses partnerships between the U.S. Census Bureau and tribal, state, and local governments as well as businesses for the 2010 Census. These partnerships helped improve address data through programs like LUCA and BAS and provided handheld technology for address canvassing from March to July 2010. Government partnerships also aided redistricting data and new statistical area programs while business partnerships offered database software, applications, geocoding, and project management services with benefits like technical expertise and staff flexibility.
The Urban Atlas project provides high resolution land cover/land use maps for 305 major European urban areas based on satellite imagery from 2006. The maps classify land use into detailed thematic classes using a combination of automatic classification and photo interpretation. The freely available georeferenced layers can be used as input for modeling urban vulnerabilities and indicators related to topics like urban form, land use changes, green space accessibility, and population distribution. Future plans include repeating the Urban Atlas using 2011 imagery to analyze land use changes over time.
Col. Sudeep Panta, Nepal Army, Nepal Earthquake Session | SotM Asia 2017Kathmandu Living Labs
State of the Map Asia (SotM-Asia) is the annual regional conference of OpenStreetMap (OSM) organized by OSM communities in Asia. First SotM-Asia was organized in Jakarta, Indonesia in 2015, and the second was organized in Manila, Philippines in 2016. This year’s conference, third in the series, was organized in Kathmandu, Nepal on September 23 – 24, 2017 at Park Village Resort, Budhanilkantha, Kathmandu, Nepal.
We brought nearly 200 Open Mapping enthusiasts from Asia and beyond to this year’s SotM-Asia. The event provided an opportunity to share knowledge and experience among mappers; expand their network; and generate ideas to expand map coverage and effective use of OSM data in Asian continent. We chose ‘from creation to use of OSM data’ as the theme of this year’s conference, emphasizing on the effective use of OSM data. We also brought together a government panel from four different countries in this year’s SotM-Asia. We believe this event will deepen the bond and enhance collaboration among OSM communities across Asia.
More information about the conference can be found on: http://stateofthemap.asia.
This document discusses investigating the capabilities of ESRI products for handling large datasets and big data. The objectives are to study ESRI's existing abilities to process and analyze large data sets, and to examine ESRI's architecture for big data processing. The author works with New York taxi trip data, comparing different processing and visualization methods in Python, ArcPy, and Tableau Public. These include spatial joining, data filtering, and creating visualizations to analyze patterns and outliers. The conclusion evaluates the best method based on processing time, dependencies, and license restrictions. Objective 2 briefly outlines ESRI's machine-based architecture for hosting big data solutions.
Paper@Soict2015: GPSInsights: towards a scalable framework for mining massive...Viet-Trung TRAN
This document presents GPSInsights, a framework for efficiently storing and mining massive real-time vehicle location data. The framework uses an architecture based on scalable open-source components like Apache Spark, Storm, MongoDB and GeoMesa to store GPS data in real-time and perform mining tasks like scalable map-matching. The document describes experiments on 12 million GPS records which showed the framework can complete map-matching within seconds and scale to support millions of vehicles.
Building smart green mobility in South Tyrol through an open data hubSpeck&Tech
ABSTRACT: For decades the traditional approach for solving mobility and transportation challenges has been based on the idea of creating new road or rail infrastructures. Thanks to the impressive enhancement of intelligent transportation systems (ITS) technologies, in the last years this approach is going into the direction of rather improving the efficiency of how available transportation infrastructure is used. New digital infrastructures allow all mobility actors (vehicles, pedestrians, sensors, traffic management centers) to cooperate together to achieve the ambitious goal of improving mobility, enhancing safety, reducing congestion and environmental impacts. But how can we achieve this and ensure that public and private actors efficiently work together? In South Tyrol we have tried to give an answer to these challenges through the implementation of an open data hub, which enables the real-time data / information exchange among all interested parties and fosters the multiplication of development of research & innovation projects between local companies, research centers and public organizations. After years of implementation, the Open Data Hub South Tyrol is now creating the premises for a new historical phase for mobility in the region, with concepts like Mobility-as-a-Service or environmental traffic management that are finally moving from research to deployment.
BIO: Roberto Cavaliere is an ITS Project Manager at NOI Techpark Südtirol / Alto Adige, a public-owned organization in the Italian alpine region of South Tyrol coordinating the NOI Tech Park and with the mission to drive and foster research & innovation in the region. Roberto is the reference person in NOI for all initiatives in the field of ITS and smart mobility and in the last 10 years has coordinated a relevant number of EU-funded projects in this field. His main interests cover cooperative systems, autonomous driving, ITS for the environment, mobility-as-a-service and sharing mobility, road weather information systems (RWIS).
Air Pollution in Sofia - Solution through Data Science by Kiwi teamData Science Society
Some of you have already know how serious is the problem with air pollution in the capital of Bulgaria, Sofia but ...
▶️Do you know how it could be solved?
Our community represented by 1800 members all around the world tried to tackle the issue at our previous #GlobalDatathon and our international #DataScience #MonthlyChallenge, part of a university program.
Team Kiwi is solving the problem by implementing algorithms and statistical methods for air pollution prediction in the next 24 hours.
Spatial related traffic sign inspection for inventory purposes using mobile l...ieeepondy
Spatial related traffic sign inspection for inventory purposes using mobile laser scanning data
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
This document summarizes a study on detecting patterns of movement suspension from trajectory data without predefined thresholds. The researchers developed a method using local indicators of spatial association (LISA) to identify spatial clusters of low-speed movement vectors. They applied this method to datasets of children playing a mobile game, park visitors, trucks, and elephants, detecting clusters that corresponded to places like checkpoints, facilities, and traffic jams. Evaluation of results on one dataset found 90.9% of clusters were true positives. The researchers conclude their threshold-free method can detect suspension patterns from different entities and scales but note limitations including different entity types, large datasets, and real-time analysis.
Cinzia Conti, Fabio Massimo Rottino Migration routes to Italy and internal movements
16 June 2016
Workshop Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
Maricopa County Elections Department uses GIS software and spatial databases to manage electoral data and processes. This includes assigning voters to districts based on their addresses, determining which precincts voting districts fall within for ballot creation, and creating customized desktop and web applications for redistricting, mapping election results and minority language support. Spatial queries and analysis in GIS helps optimize operations and ensure voters receive correct ballots and information.
Geostatistics Portal - the multitool for statistics on mapsMirosław Migacz
The Geostatistics Portal provides access to Polish statistical data through maps and network services. It currently offers census results and data from the Local Data Bank using choropleth and diagram maps. INSPIRE-compliant services include statistical units and population distribution. Future plans include advanced spatial analysis on microdata, publishing data on grids, lower level population maps, expanding the Local Data Bank, new visualization methods, time series analysis, and mobile applications. The portal aims to be a comprehensive tool for visualizing and analyzing Polish statistical data spatially.
This paper is written based on the researches of models and its applications in Real-Time Traffic Information. Firstly, this would be introduced briefly about traffic information system and some traffic sensors which are currently used to record and send data to centre. The major part will focus on explanation of models for estimation and prediction in Real-Time Traffic Information. Some standard models such as Regression Model, Bayesian Model and Probabilistic Graphical Model are applied to figure out many indicators in traffic system (the Level of Service, road network, congestion, etc.) and run processes of predictions, then, send the solutions to drivers or other relevant. Besides these models, some experiments from the project of Mobile Millennium which also helps to explain how these models apply in Real-Time Traffic Information would be introduced. Finally, some specified applications which are widely used in the world are also mentioned as the newest approaches in Real-Time Traffic Information.
Kharita: Robust Road Map Inference Through Network Alignment of Trajectoriesvipyoung
In this work we address the challenge of inferring the road network
of a city from crowd-sourced GPS traces. While the problem has been
addressed before, our solution has the following unique characteristics:
(i) we formulate the road network inference problem as a network
alignment optimization
problem where both the nodes and edges of the network have to be inferred,
(ii) we propose both an offline (\kha) and an online (\khastar) algorithm
which are intuitive and capture the key aspects of the optimization
formulation but are scalable and accurate. The \khastar in particular is, to
the best of our knowledge, the first known online algorithm for map inference,
(iii) we test our approach on two real data sets
and both our code and data sets have been made available for research
reproducibility.
Flink Forward Berlin 2018: Piotr Wawrzyniak & Jarosław Legierski - "Using Apa...Flink Forward
Mining large streams of real time data has recently grown to one of the key challenges for Big Data community in both, industry and academia. At the same time the concept of Smart City has gained significant acclaim by providing user-oriented services in the modern cities. One of the key part of the smart city is Intelligent Transportation System. Usual consideration of ITS implementation assumes the large amount of various sensor, both stationary and mobile, being deployed in the city area. Such sensors might in particular include video cameras, traffic detectors, or devices attached to various public transport means. The studies proved the usefulness of this data streams for incident detection, traffic monitoring and congestion detection, optimization of public transport schedules and operations. In this speech we present the architecture of complex system developed within EU-H2020 project VaVeL and deployed in a cluster operating in the City of Warsaw. We will discuss in details the core components of the stream and batch processing pipelines, with particular focus on its implementation, cluster-based deployment and integration, fault detection and maintenance.
R is a free and open-source programming language and software environment for statistical analysis and graphics. It has over 9,000 packages that allow users to perform spatial analysis and visualization. R allows users to integrate multiple analyses in one software, link to different resources, and build various outputs. It is useful for spatial analysis tasks like interpolation of data, producing density maps, and examining residuals without being a "black box." R and R Studio allow reproducible research through R Markdown and sharing of workflows and analysis tools through packages.
This thesis develops a methodological framework for evaluating public accessibility to services within a city. The framework collects data on public services and builds indicators to measure accessibility for different areas. It then applies statistics to understand resident profiles and examines both the number and minimum distances of services for each area. Finally, it combines these analyses to construct an ideal accessibility model and applies the model to Athens, identifying conclusions, deficiencies, and ways to improve future urban planning and the framework.
OpenStreetMap is a collaborative project to create a free editable map of the world. It began in 2004 and now has over 1 million users contributing data. The Humanitarian OpenStreetMap Team contributes mapping data for humanitarian and development contexts. OpenStreetMap data can be used for routing, downloaded for use in other projects, and edited in apps or through the website. Analysis has shown the positional accuracy of OpenStreetMap data is around 6 meters where there is significant contributor activity and quality assurance.
Timothy Trainor discusses partnerships between the U.S. Census Bureau and tribal, state, and local governments as well as businesses for the 2010 Census. These partnerships helped improve address data through programs like LUCA and BAS and provided handheld technology for address canvassing from March to July 2010. Government partnerships also aided redistricting data and new statistical area programs while business partnerships offered database software, applications, geocoding, and project management services with benefits like technical expertise and staff flexibility.
The Urban Atlas project provides high resolution land cover/land use maps for 305 major European urban areas based on satellite imagery from 2006. The maps classify land use into detailed thematic classes using a combination of automatic classification and photo interpretation. The freely available georeferenced layers can be used as input for modeling urban vulnerabilities and indicators related to topics like urban form, land use changes, green space accessibility, and population distribution. Future plans include repeating the Urban Atlas using 2011 imagery to analyze land use changes over time.
Col. Sudeep Panta, Nepal Army, Nepal Earthquake Session | SotM Asia 2017Kathmandu Living Labs
State of the Map Asia (SotM-Asia) is the annual regional conference of OpenStreetMap (OSM) organized by OSM communities in Asia. First SotM-Asia was organized in Jakarta, Indonesia in 2015, and the second was organized in Manila, Philippines in 2016. This year’s conference, third in the series, was organized in Kathmandu, Nepal on September 23 – 24, 2017 at Park Village Resort, Budhanilkantha, Kathmandu, Nepal.
We brought nearly 200 Open Mapping enthusiasts from Asia and beyond to this year’s SotM-Asia. The event provided an opportunity to share knowledge and experience among mappers; expand their network; and generate ideas to expand map coverage and effective use of OSM data in Asian continent. We chose ‘from creation to use of OSM data’ as the theme of this year’s conference, emphasizing on the effective use of OSM data. We also brought together a government panel from four different countries in this year’s SotM-Asia. We believe this event will deepen the bond and enhance collaboration among OSM communities across Asia.
More information about the conference can be found on: http://stateofthemap.asia.
This document discusses investigating the capabilities of ESRI products for handling large datasets and big data. The objectives are to study ESRI's existing abilities to process and analyze large data sets, and to examine ESRI's architecture for big data processing. The author works with New York taxi trip data, comparing different processing and visualization methods in Python, ArcPy, and Tableau Public. These include spatial joining, data filtering, and creating visualizations to analyze patterns and outliers. The conclusion evaluates the best method based on processing time, dependencies, and license restrictions. Objective 2 briefly outlines ESRI's machine-based architecture for hosting big data solutions.
Paper@Soict2015: GPSInsights: towards a scalable framework for mining massive...Viet-Trung TRAN
This document presents GPSInsights, a framework for efficiently storing and mining massive real-time vehicle location data. The framework uses an architecture based on scalable open-source components like Apache Spark, Storm, MongoDB and GeoMesa to store GPS data in real-time and perform mining tasks like scalable map-matching. The document describes experiments on 12 million GPS records which showed the framework can complete map-matching within seconds and scale to support millions of vehicles.
Building smart green mobility in South Tyrol through an open data hubSpeck&Tech
ABSTRACT: For decades the traditional approach for solving mobility and transportation challenges has been based on the idea of creating new road or rail infrastructures. Thanks to the impressive enhancement of intelligent transportation systems (ITS) technologies, in the last years this approach is going into the direction of rather improving the efficiency of how available transportation infrastructure is used. New digital infrastructures allow all mobility actors (vehicles, pedestrians, sensors, traffic management centers) to cooperate together to achieve the ambitious goal of improving mobility, enhancing safety, reducing congestion and environmental impacts. But how can we achieve this and ensure that public and private actors efficiently work together? In South Tyrol we have tried to give an answer to these challenges through the implementation of an open data hub, which enables the real-time data / information exchange among all interested parties and fosters the multiplication of development of research & innovation projects between local companies, research centers and public organizations. After years of implementation, the Open Data Hub South Tyrol is now creating the premises for a new historical phase for mobility in the region, with concepts like Mobility-as-a-Service or environmental traffic management that are finally moving from research to deployment.
BIO: Roberto Cavaliere is an ITS Project Manager at NOI Techpark Südtirol / Alto Adige, a public-owned organization in the Italian alpine region of South Tyrol coordinating the NOI Tech Park and with the mission to drive and foster research & innovation in the region. Roberto is the reference person in NOI for all initiatives in the field of ITS and smart mobility and in the last 10 years has coordinated a relevant number of EU-funded projects in this field. His main interests cover cooperative systems, autonomous driving, ITS for the environment, mobility-as-a-service and sharing mobility, road weather information systems (RWIS).
Air Pollution in Sofia - Solution through Data Science by Kiwi teamData Science Society
Some of you have already know how serious is the problem with air pollution in the capital of Bulgaria, Sofia but ...
▶️Do you know how it could be solved?
Our community represented by 1800 members all around the world tried to tackle the issue at our previous #GlobalDatathon and our international #DataScience #MonthlyChallenge, part of a university program.
Team Kiwi is solving the problem by implementing algorithms and statistical methods for air pollution prediction in the next 24 hours.
Spatial related traffic sign inspection for inventory purposes using mobile l...ieeepondy
Spatial related traffic sign inspection for inventory purposes using mobile laser scanning data
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
This document summarizes a study on detecting patterns of movement suspension from trajectory data without predefined thresholds. The researchers developed a method using local indicators of spatial association (LISA) to identify spatial clusters of low-speed movement vectors. They applied this method to datasets of children playing a mobile game, park visitors, trucks, and elephants, detecting clusters that corresponded to places like checkpoints, facilities, and traffic jams. Evaluation of results on one dataset found 90.9% of clusters were true positives. The researchers conclude their threshold-free method can detect suspension patterns from different entities and scales but note limitations including different entity types, large datasets, and real-time analysis.
Cinzia Conti, Fabio Massimo Rottino Migration routes to Italy and internal movements
16 June 2016
Workshop Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
MILeS2015 | Milano - Impresa, Lavoro e Società 2015
Le forme di lavoro autonomo sono contraddistinte da indipendenza organizzativa e mancanza di esercizio del potere direttivo e disciplinare da parte dei committenti. Tuttavia, in presenza di particolari vincoli di subordinazione, il lavoro autonomo può essere assimilato al lavoro alle dipendenze con caratteristiche di precarietà. Tra gli obiettivi dichiarati delle più recenti riforme del mercato del lavoro vi è appunto il contrasto all’utilizzo improprio di questa tipologia di lavoro. L’obiettivo del presente studio è quello di identificare e quantificare i lavoratori autonomi con proprietà di “dipendenza economica” da un committente principale. Utilizzando fonti amministrative integrate di natura fiscale è stato analizzato il grado di dipendenza economica dei lavoratori autonomi osservandone le trasformazioni nel tempo. Inoltre è stato possibile descrivere gli aspetti socio-demografici e reddituali dei lavoratori e le caratteristiche strutturali dei committenti.
Domenico Gabrielli - Mobility of Italian citizens in Eu
and Efta countries
Workshop 16 giugno 2016
Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
Luca Pietranera - Radar satellite images and detection of population in desert areas
Workshop 16 giugno 2016
Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
Cucumber is a useful tool for testing software, but it has problems that aren't often considered. This presentation addresses its drawbacks and discusses potential alternatives.
The United Nations High Commissioner for RefugeesRizayel
The document discusses the history and evolution of the United Nations High Commissioner for Refugees (UNHCR). It describes how UNHCR was established in 1951 to aid refugees after World War II and protect their rights. However, during the 1980s and 1990s, UNHCR began prioritizing the involuntary repatriation of refugees and reinterpreted concepts like "voluntary repatriation" and "protection" in response to pressure from states. A case study of the repatriation of Rohingya refugees from Bangladesh to Burma in the 1990s illustrates how UNHCR's approach has sometimes compromised refugee rights and lacked proper monitoring of conditions.
Gianfranco Vizzini - The European comprehensive approach
for the management of the migration flows in the editerranean Sea
Workshop 16 June 2016
Auditorium Antonianum – Sala San Francesco
Viale Manzoni, 1 Roma
The platform offers a public database of harmonized spatial and non-spatial planning data from various European and national sources. It provides tools for data integration and publication to support spatial analysis and planning. The platform contains apps and services that are useful for both data and spatial planning experts as well as nonspecialists, through functions like comprehensive location reports and thematic map viewing.
Visualizing networks and territory: interactive systems and web2.0 technologiesDaniele Frongia
This document discusses visualizing migration networks using interactive systems and web 2.0 technologies. It presents examples of network visualizations created using NetDraw to analyze migration flows between local labor market areas in Italy. The document advocates developing customized, web-based solutions to integrate statistical data on migration networks. This would allow users to interactively explore migration flows between places, while characterizing nodes with demographic and network analysis measures.
27.05.2015 - INSPIRE Geospatial World Forum Conference 2015, Lisbon, Portugal
- building GIS in Polish official statistics
- geospatial aspect of the nationwide censuses
- dissemination of georeferenced statistics (Geostatistics Portal - geo.stat.gov.pl)
- spatial datasets and network services (INSPIRE)
Emerging Trends in Data Visualization and Dissemination discusses providing statistical data through application programming interfaces (APIs) and as a service rather than goods. It describes how mashups combine data from multiple sources into new applications and services. The document outlines benefits of mashups, how they work by retrieving data through APIs from different websites, and factors to consider when planning a mashup like data sources and programming languages. It provides examples of the United Nations' UNData and Comtrade initiatives that make international statistical databases freely available through APIs and web services.
The GISST sub-project was a collaboration between three partners to create a web-based GIS for sustainable tourism. Each partner collected and integrated tourism-related geographic data and information into the system. This included data on villages, hotels, and amenities from the Midi-Pyrenees region of France; tourist data and maps from the Natural Park of Bertiz in Spain; and the creation of a web portal and interactive maps by the Majella National Park in Italy. The goal was to provide visitors with easy access to tourism information across the different regions using open standards and web services.
Snap4City a Solution for highly collaborative Smart Cities Environments Paolo Nesi
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4City (Https://www.snap4city.org ) is a solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc.
Snap4City/Km4City has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions.
STATVIEW: a web platform for visualisation and dissemination of statistical d...ALESSANDRO CAPEZZUOLI
STATVIEW represents a useful open source tool that can be conveniently shared among NSOs for analysing, visualising and sharing cartographic data in a machine-readable format.
The document describes an online information system created by Istat to provide data on immigration and integration in Italy. The system includes a thematic data warehouse with statistics organized across eight themes. It allows users to access multidimensional tables and view dynamic graphs and maps. Additional features include comparison tables and indicators. The goal is to exploit various data sources and provide a single access point for comprehensive and interactive information on migration trends in Italy.
Presentation by Glenn Hyman (CIAT) on effort to develop a global roads database. Also includes a few slides related to work of the Consultative Group on International Agricultural Research (CGIAR) in Africa.
Km4city: Open Urban Platform for a Sentient Smart CityPaolo Nesi
1) Km4City is an open urban platform that aggregates data from IoT sensors and city services to create a smart city ecosystem.
2) The platform includes tools for real-time monitoring, data analytics, influencing citizen behavior, and transforming data into new smart city services.
3) Example tools include smart city dashboards, predictive models, mobile apps, and Twitter analysis to gain citizen input and assess sentiment.
The document describes a multi-agent system called "City-Live" that was developed to model and simulate urban mobility. It discusses:
1) The goals of developing the City-Live model to analyze the effects of transportation/urban planning decisions on traffic, public transport usage, and quality of life.
2) How the model represents the city as an environment for agents to interact in, and the agents which represent residents and commuters.
3) How rules governing agent behavior were extracted from a population survey using knowledge discovery techniques.
La telefonía móvil como fuente de información para el estudio de la movilidad...Esri España
Existe una multitud de sectores donde es necesario disponer de datos que permitan entender los patrones de comportamiento de la población: la planificación y la operación de los sistemas de transporte requiere información precisa, fiable y actualizada sobre la demanda de viajes; los patrones de actividad y movilidad de los turistas tienen profundas implicaciones para la planificación de infraestructuras, el desarrollo de la oferta turística y las estrategias de marketing turístico; entender el comportamiento espacial de los clientes es clave para optimizar las estrategias de distribución, comercialización y publicidad, determinar la localización de un nuevo comercio o punto de venta, o maximizar el retorno de la inversión en acciones de marketing. Las fuentes de datos tradicionales, basadas fundamentalmente en encuestas y registros administrativos, proporcionan información muy valiosa, pero no están exentas de inconvenientes. En general, las encuestas resultan caras y lentas de realizar, lo que limita el tamaño de la muestra y la frecuencia de actualización de la información, a lo que hay que añadir otras limitaciones intrínsecas, como las respuestas incorrectas e imprecisas, o la dependencia de la disposición a responder de los entrevistados. En los últimos años, la generalización del uso de dispositivos móviles ha abierto nuevas oportunidades para superar muchas de estas limitaciones. La posibilidad de recoger datos geolocalizados sobre la actividad de las personas, de manera dinámica y a un coste sensiblemente inferior al de los métodos tradicionales, abre la puerta a infinidad de aplicaciones. Las más evidentes son quizá las relacionadas con el transporte y la movilidad, pero el abanico es mucho más amplio, abarcando casi cualquier área que requiera información sobre los patrones de actividad y movilidad de la población. Las nuevas fuentes de datos plantean asimismo importantes retos, desde la necesidad de desarrollar nuevas metodologías de análisis, hasta la protección de la privacidad.
Vídeo de la ponencia: https://youtu.be/5PKC5Qm0eHM
Gli open data nella “città intelligente”Paolo Nesi
Aggregate & integrate data
Multiple protocols from urban operators, ....
open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ...
Data Exploitation performing
predictions, reasoning, business intelligence, ..
users behavior analysis, decision support system, ..
Control Room, Real Time Monitoring tools, ….
Produce value from data enabling to
Stimulate virtuous behavior, influence City Users!
Put in action CITY Strategies
Thanks to the European Commission for founding. All slides reporting logo of RESOLUTE H2020 are representing tools and research founded by European Commission for the RESOLUTE project. RESOLUTE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 653460).
Thanks to the European Commission for founding. All slides reporting logo of REPLICATE H2020 are representing tools and research founded by European Commission for the REPLICATE project. REPLICATE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 691735).
Thanks to the MIUR for co-fouding and to the University of Florence and companies involved. All slides reporting logo of Sii-Mobility are representing tools and research founded by MIUR for the Sii-Mobility SCN MIUR project.
Thanks to the European Commission for founding. All slides reporting logo of Snap4City https://www.snap4city.org of Select4Cities H2020 are representing tools and research founded by European Commission for the Select4Cities project. Select4Cities has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 688196)
Km4City is an open technology exploited by those projects and line of research of DISIT Lab. Some of the innovative solutions and research issues developed into the above mentioned projects are also compliant and contributing to the Km4City approach and thus are contributing to the open Km4City model of DISIT lab.
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...BigData_Europe
This document discusses big data sources for intelligent road transport. It explains that even small datasets from individual vehicles can grow very large in aggregate when many vehicles are transmitting GPS data. Transportation agencies are now collecting petabytes of data on traffic patterns, public transit use, and vehicle locations using sensors, vehicle fleets, and smartphones. This big data is helping to optimize traffic management, asset maintenance, and traveler information services. Researchers are also able to conduct more accurate studies without relying on samples by analyzing vast amounts of real-world transportation data. The document provides examples of big data collection and use for traffic, public transit, and smart cities in Greece.
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Paolo Nesi
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• Data Ingestion Strategy
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• GIS Data Import and Export
• Social Media data collection and exploitation
• Acknowledgements
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1. A web storymap of inbound Italian
migration flows
Based on Gistat platform
Antonella Gigantino - Marina Arcasenza - Pina Grazia Ticca
Directorate for territorial and environmental statistics - Istat
Rome, 16/06/2016
Studying Migrations Routes: New data and Tools
2. Agenda
The GISTAT platform
The datasets used
The WebMapServices
The GIS Web Application
Studying Migrations Routes: New data and Tools
3. GISTAT
Geospatial database with temporal dimension at
national level (in evolution toward EU countries)
WebMapServices to disseminate and share
geographic and geostatistical data
Web GIS applications to access WebMapServices
(http://gisportal.istat.it)
Metadata Catalogue (standard INSPIRE, RNDT)
Studying Migrations Routes: New data and Tools
4. Studying Migrations Routes: New data and Tools
Web Applications to visualize, geographically navigate, query and
analyse geospatial data
http://gisportal.istat.it/
5. The datasets used
Geocoded names of place of birth
(registered in the residence permits database
from Ministry of Interiors)
Other data (sex, age, type of work….)
World countries borders (linked to
immigrants origin countries)
Italian administrative units
Studying Migrations Routes: New data and Tools
6. Datasets coverage
Residence permits from 5 countries
China
Egypt
India
Philippines
Ukraine
Years 2012 - 2013
Studying Migrations Routes: New data and Tools
7. The Web Map Services
A WebMapService per year (origin countries
for immigrants)
A WebMapService per year for Italian
administrative units (destination provinces)
Basemaps available
Studying Migrations Routes: New data and Tools
8. The Web GIS application
A re-usable template
Based on multiple geographic panels for
navigation and query
Panels could be synchronized or user-
managed
Querying the province of destination or
the country of origin
Studying Migrations Routes: New data and Tools
9. The Web GIS application - User interaction
Studying Migrations Routes: New data and Tools
10. The Web GIS application –
From origin countries to destination provinces
Studying Migrations Routes: New data and Tools
13. Studying Migrations Routes: New data and Tools
Future developments
Adding more datasets and more
information for immigrants (sex, type of
work,….)
Adding more GIS tools to perform
geospatial analysis
Re-use experiences, templates and
geospatial datasets models
14. Thanks for your attention
gigantin@istat.it
arcasenz@istat.it
ticca@istat.it
Studying Migrations Routes: New data and Tools