This document provides an overview of citizen science and volunteered geographic information (VGI). It discusses various types of citizen science projects including volunteered computing, volunteered thinking, and participatory sensing. The document also summarizes several VGI projects focused on OpenStreetMap data collection and quality assessment. It describes methods used to evaluate the completeness and positional accuracy of OSM building data in Milan, Italy.
Geohistory-Géohistoire Canada: Developing a partnership for historical GIS an...nacis_slides
NACIS 2016 Presentation
Byron Moldofsky, GIS and Cartography Office, Department of Geography and Planning, University of Toronto
Marcel Fortin, Map and Data Library, University of Toronto
The Canadian Historical Geographic Information Systems (HGIS) Partnership Development Project is a diverse group of geographers, historians, librarians, research NGOs, GIS companies, and members of the public. We are working to improve our collective ability to research historical subjects using GIS, and map them, primarily on the web. We are reaching out to the larger HGIS community to consolidate knowledge about what kinds of resources are currently available, and what will be needed in the future - not only to build historical GIS data and tools, but also to facilitate collaboration and data-sharing. In the first year of this two-year project we are laying the groundwork by reviewing current capabilities and needs, including doing a user needs survey for HGIS web-mapping. This presentation will present preliminary results from this study, and will discuss plans for pilot projects in the coming year.
Geohistory-Géohistoire Canada: Developing a partnership for historical GIS an...nacis_slides
NACIS 2016 Presentation
Byron Moldofsky, GIS and Cartography Office, Department of Geography and Planning, University of Toronto
Marcel Fortin, Map and Data Library, University of Toronto
The Canadian Historical Geographic Information Systems (HGIS) Partnership Development Project is a diverse group of geographers, historians, librarians, research NGOs, GIS companies, and members of the public. We are working to improve our collective ability to research historical subjects using GIS, and map them, primarily on the web. We are reaching out to the larger HGIS community to consolidate knowledge about what kinds of resources are currently available, and what will be needed in the future - not only to build historical GIS data and tools, but also to facilitate collaboration and data-sharing. In the first year of this two-year project we are laying the groundwork by reviewing current capabilities and needs, including doing a user needs survey for HGIS web-mapping. This presentation will present preliminary results from this study, and will discuss plans for pilot projects in the coming year.
The One and Many Maps: Participatory and Temporal Diversities in OpenStreetMapDongpo Deng
OpenStreetMap is an open and collaborative project with thousands of people contributing GPS traces and other data into the making of a global map of places and networks. It is open in the sense that everyone can contribute to the project, and results from the project are free for everyone to reuse. This is contrary to traditional cartography where often a central authority controls the making of the map and its release. Is OpenStreetMap more democratic, and in what sense? Is OpenStreetMap more relevant to the mass, and how can we judge?
We define and use several metrics to measure temporal properties of dened areas in OpenStreetMap, and to sample modes of participation in these areas. These metrics are used to graph the datasets representing the current OpenStreetMap so as to reveal unevenness in user participation and data temporality. We use the dataset about Taiwan as a test case to observe participatory and temporal diversities among different areas of Taiwan in OpenStreetMap.
Vala, Francisco - The integration of geospatial data with statistical data to...OECDregions
Vala, Francisco - The integration of geospatial data with statistical data to grasp the territorial dimension in SDG indicators.
Working group on Data Integration. United Nations Global Geospatial Information Management (UNGGIM)
OECD: Joint WPURB-WPTI workshop - May 14, 2019
15. Sächsisches GI/GIS/GDI Forum und Club of Ossiach Workshops
COPERNICUS PROGRAMME AND SENTINEL DATA FOR AGRICULTURE AND FORESTRY
Lenka Hladíková, CENIA, Czech Environmental Information Agency (CZ)
The Value Added Element (VAE) and Data User Element (DUE) are two programmatic components of the Earth Observation Envelope Programme (EOEP), an optional programme of the European Space Agency, currently subscribed by 20 ESA Member States. While the DUE mission focuses on the establishment of a long-term relationship between the User communities and Earth Observation in support of major environmental conventions, the VAE focuses on developing the European and Canadian EO Services Industry in growing the prospects of sustainable use of EO-based information the operations of non-EO businesses and organisations.
Qualità dei dati OpenStreetMap: sperimentazioni sulla città di Milano e risul...Marco Minghini
These slides were presented during the Italian OpenStreetMap conference - OSMit 2016 (http://conf.openstreetmap.it), held in Milan (Italy) on May 20-21, 2016. They include a description of some ongoing research works on OpenStreetMap which are under development at the GEOlab (http://geolab.como.polimi.it) of Politecnico di Milano.
A GRASS-based automated procedure to compare OpenStreetMap and authoritative ...Marco Minghini
These slides were presented during the XVII meeting of the Italian users of GRASS and FOSS4G, held in Parma on February 11-12, 2015. The presentation describes an automated GRASS-based procedure to compare OSM and authoritative road network datasets (https://github.com/MoniaMolinari/OSM-roads-comparison). An application is presented focused on Paris city, where the OSM road network is compared with the official road network provided by IGN. A Web Processing Service (WPS) is also under development.
A GRASS-based procedure to compare OSM and IGN Paris road network datasetsMarco Minghini
These slides were presented during the WG2 meeting of COST Action IC1203 ENERGIC (http://vgibox.eu) held in Paris on December 3-4, 2015, which was focused on the evaluation of OSM quality through the comparison with official IGN data. The presentation describes an application of an open source GRASS-based procedure - including a Web Processing Service - to compare OSM and authoritative road network datasets (https://github.com/MoniaMolinari/OSM-roads-comparison) in the Paris case study.
Maria Antonia Brovelli, Carolina Arias Muñoz, Marco Minghini, Giorgio Zamboni.
https://drive.google.com/file/d/0B3xWOhmJOx-_am5Ld3c4dnFPUUE/view
https://www.youtube.com/watch?v=dQ-EdwoPMVQ&feature=youtu.be
A Data Scientist Exploration in the World of Heterogeneous Open Geospatial DataGloria Re Calegari
We present the challenges faced by a Data Scientist in exploring and analyzing heterogeneous Open Geospatial Data. This work is aimed at explaining the initial steps of a data exploration process, specifically aimed at discovering similarities and differences conveyed by diverse sources and resulting from their correlation analysis; we also explore the influence of spatial resolution on the dependence strength between heterogeneous urban sources, to pave the way to a meaningful information fusion.
Snap4City November 2019 Course: Smart City IOT Data AnalyticsPaolo Nesi
• Data Analytics: Examples from Snap4City
o Smart parking: Predictions
o User Behavior Analysis, via Wi-Fi, OD, Trajectories
o Recognition of Used Transportation means
o Traffic Flow Reconstruction, from Traffic Sensors Data
o Quality of Public Transport Service
o Origin Destination Matrices from: Wi-Fi, Mobile Apps, etc.
o Demand of Mobility vs Offer of Transportation
o Modal and Multimodal Routing for Navigation and Travel Planning
o Environmental Data Analysis and Predictions, early Warning
o Prediction of Air Quality Conditions
o Anomaly Detection
o What-IF Analysis
• Data Analytics: Enforcing and Exploiting
o Real Time Data Analytics: using R Studio Exploitation in IOT Applications
• Decision Support Systems, Smart DS and Resilience DS
• Twitter Vigilance: Social Media Analysis: Early Warning, Predictions
The One and Many Maps: Participatory and Temporal Diversities in OpenStreetMapDongpo Deng
OpenStreetMap is an open and collaborative project with thousands of people contributing GPS traces and other data into the making of a global map of places and networks. It is open in the sense that everyone can contribute to the project, and results from the project are free for everyone to reuse. This is contrary to traditional cartography where often a central authority controls the making of the map and its release. Is OpenStreetMap more democratic, and in what sense? Is OpenStreetMap more relevant to the mass, and how can we judge?
We define and use several metrics to measure temporal properties of dened areas in OpenStreetMap, and to sample modes of participation in these areas. These metrics are used to graph the datasets representing the current OpenStreetMap so as to reveal unevenness in user participation and data temporality. We use the dataset about Taiwan as a test case to observe participatory and temporal diversities among different areas of Taiwan in OpenStreetMap.
Vala, Francisco - The integration of geospatial data with statistical data to...OECDregions
Vala, Francisco - The integration of geospatial data with statistical data to grasp the territorial dimension in SDG indicators.
Working group on Data Integration. United Nations Global Geospatial Information Management (UNGGIM)
OECD: Joint WPURB-WPTI workshop - May 14, 2019
15. Sächsisches GI/GIS/GDI Forum und Club of Ossiach Workshops
COPERNICUS PROGRAMME AND SENTINEL DATA FOR AGRICULTURE AND FORESTRY
Lenka Hladíková, CENIA, Czech Environmental Information Agency (CZ)
The Value Added Element (VAE) and Data User Element (DUE) are two programmatic components of the Earth Observation Envelope Programme (EOEP), an optional programme of the European Space Agency, currently subscribed by 20 ESA Member States. While the DUE mission focuses on the establishment of a long-term relationship between the User communities and Earth Observation in support of major environmental conventions, the VAE focuses on developing the European and Canadian EO Services Industry in growing the prospects of sustainable use of EO-based information the operations of non-EO businesses and organisations.
Qualità dei dati OpenStreetMap: sperimentazioni sulla città di Milano e risul...Marco Minghini
These slides were presented during the Italian OpenStreetMap conference - OSMit 2016 (http://conf.openstreetmap.it), held in Milan (Italy) on May 20-21, 2016. They include a description of some ongoing research works on OpenStreetMap which are under development at the GEOlab (http://geolab.como.polimi.it) of Politecnico di Milano.
A GRASS-based automated procedure to compare OpenStreetMap and authoritative ...Marco Minghini
These slides were presented during the XVII meeting of the Italian users of GRASS and FOSS4G, held in Parma on February 11-12, 2015. The presentation describes an automated GRASS-based procedure to compare OSM and authoritative road network datasets (https://github.com/MoniaMolinari/OSM-roads-comparison). An application is presented focused on Paris city, where the OSM road network is compared with the official road network provided by IGN. A Web Processing Service (WPS) is also under development.
A GRASS-based procedure to compare OSM and IGN Paris road network datasetsMarco Minghini
These slides were presented during the WG2 meeting of COST Action IC1203 ENERGIC (http://vgibox.eu) held in Paris on December 3-4, 2015, which was focused on the evaluation of OSM quality through the comparison with official IGN data. The presentation describes an application of an open source GRASS-based procedure - including a Web Processing Service - to compare OSM and authoritative road network datasets (https://github.com/MoniaMolinari/OSM-roads-comparison) in the Paris case study.
Maria Antonia Brovelli, Carolina Arias Muñoz, Marco Minghini, Giorgio Zamboni.
https://drive.google.com/file/d/0B3xWOhmJOx-_am5Ld3c4dnFPUUE/view
https://www.youtube.com/watch?v=dQ-EdwoPMVQ&feature=youtu.be
A Data Scientist Exploration in the World of Heterogeneous Open Geospatial DataGloria Re Calegari
We present the challenges faced by a Data Scientist in exploring and analyzing heterogeneous Open Geospatial Data. This work is aimed at explaining the initial steps of a data exploration process, specifically aimed at discovering similarities and differences conveyed by diverse sources and resulting from their correlation analysis; we also explore the influence of spatial resolution on the dependence strength between heterogeneous urban sources, to pave the way to a meaningful information fusion.
Snap4City November 2019 Course: Smart City IOT Data AnalyticsPaolo Nesi
• Data Analytics: Examples from Snap4City
o Smart parking: Predictions
o User Behavior Analysis, via Wi-Fi, OD, Trajectories
o Recognition of Used Transportation means
o Traffic Flow Reconstruction, from Traffic Sensors Data
o Quality of Public Transport Service
o Origin Destination Matrices from: Wi-Fi, Mobile Apps, etc.
o Demand of Mobility vs Offer of Transportation
o Modal and Multimodal Routing for Navigation and Travel Planning
o Environmental Data Analysis and Predictions, early Warning
o Prediction of Air Quality Conditions
o Anomaly Detection
o What-IF Analysis
• Data Analytics: Enforcing and Exploiting
o Real Time Data Analytics: using R Studio Exploitation in IOT Applications
• Decision Support Systems, Smart DS and Resilience DS
• Twitter Vigilance: Social Media Analysis: Early Warning, Predictions
[MIPRO2019] Map-Matching on Big Data: a Distributed and Efficient Algorithm w...University of Bologna
In urban mobility, map-matching aims to project GPS points generated by moving objects onto the road segments representing the actual object positions. Up to now, map-matching has found interesting applications in traffic analysis, frequent path extraction, and location prediction. However, state-of-art implementations of map-matching algorithms are either private, sequential or inefficient. In this paper, we propose an extension of an existing serial algorithm of known efficiency by reformulating it in a distributed way, in order to achieve great scalability on real big data scenarios. Furthermore, we enhance the robustness of the algorithm, which is based on a first-order Hidden Markov Model, by introducing a smart strategy to avoid gaps in the matched road segments; indeed, this problem may occur under sparse GPS sampling or in urban areas with highly fragmented road segments. Our implementation is based on Apache Spark and is publicly available on Github. The implementation is tested against a dataset with 7.8 million GPS points in Milan.
Slides presented by me on behalf of Geonovum and the project on the Geospatial Sensor Webs conference 2016 organized by 52North in Münster, Germany:
http://52north.org/about/other-activities/geospatial-sensor-webs-conference
The slides give an overview of the Smart Emission project with a focus on the data infrastructure, data management (ETL) and providing access to sensor data via OGC-standards (SOS, WMS, WFS, STA).
Smart Urban Planning Support through Web Data Science on Open and Enterprise ...Gloria Re Calegari
Prediction of expensive datasets starting from a set of cheap heterogeneous information sources in smart city scenarios.
Prediction of the population and land use of Milano starting from data about Points Of Interest and phone activity.
Smart Cities are urban environments in which, the stream of data coming from very different observational networks is managed and integrated in order to efficiently improve public services and the life quality of the citizens.
Focusing on smart mobility, we present as proof of concept the case study of Crema (in collaboration with SIMET – Gruppo ENERCOM), where a coupled traffic and air quality measurement system was developed to real-time monitoring the traffic composition (vehicles categories) and its related emission of pollutants.
The developed tool represents a data-driven decision-making support that can be used for urban planning, traffic optimization and pollution control.
This presentation has highlighted the strategic directions and contributions by the UN GGIM Academic Network of global geospatial Information Management, at the side event of the 13th UN-GGIM event in New York.
Introduction to the side event organized by the UN GGIM Academic Network and Private Sector at the Thirteenth Session of the United Nations Committee of Experts on Global Geospatial Information Management. The outcome of two surveys (to Universities and to Member States) are presented.
ANALYSIS OF THE REMOTELY SENSED WATER QUALITY PARAMETERS OF THE INSUBRIC LAKE...Maria Antonia Brovelli
Lakes are a fundamental component of the environment and the territory and represent a precious source of fresh water for various
uses. The area of the Prealps north of the Po valley in Italy is characterized by the presence of lakes which represent almost 80%
of the total volume of fresh water in Italy (Rogora et al., 2018). The Insubric lakes (Lugano, Maggiore and Como) have their
shared basins between Italy and Switzerland, and they are the objective of the SIMILE project, a cross-border Italian-Swiss Interreg project
that aims to improve their coordinated management and strengthen stakeholder participation in the processes of knowledge and
monitoring of water resources by analyzing data acquired from in-situ to satellite sensors. The present work
refers to data collected by remote sensing methods which offer the possibility to obtain synoptic views of water bodies to monitor
water quality parameters (WQPs) such as the chlorophyll-a (Chl-a), the total suspended matter (TSM) and the lake surface water
temperature (LSWT). This work presents an extensive evaluation of the space-time trends of the parameters
based on the SIMILE remote sensing database.
Authors: Alessandro Austoni, Juan Francisco Amieva, Mariano Bresciani and Maria Antonia Brovelli
SIMILE (Informative System for the Integrated Monitoring of Insubric Lakes and their Ecosystems) is a project financed by the Interreg Italy-Switzerland 2014-2021 program. It involves partners from the scientific and technical sector (Politecnico di Milano – Lecco Campus; Fondazione Politecnico; Water Research Institute - National Research Council; SUPSI - University of Applied Sciences and Arts of; Southern Switzerland) and from the institutional sector (Lombardy Region; Ticino Canton) working in synergy. The main project goal is the protection of water quality for Lugano, Maggiore and Como lakes through a geoinformatic coordination of existing monitoring systems with new data collection methods. Images from European Space Agency (ESA) Sentinels will be integrated with high frequency sensors, placed on buoys and floating platforms, and Volunteered Geographic Information (VGI) produced with a Citizen Science approach. This virtual cycle is described in the presentation.
Presentation of the Politecnico di Milano activities in the new Erasmus project GIS4Schools. The project aims at bringing GIS at secondary schools teaching pupils with a learning-by-doing approach. Leader of the project is Euronike (https://euronike.it/)
Global Land Cover and Intelligent Analysis of Remote Sensed ImagesMaria Antonia Brovelli
ISPRS Session at the United Nations World Geospatial Information Congress.
Maria Antonia BROVELLI 1, Wen-zhong John SHI 2 , Peng SHU 3, Qingquan LI 4, Serena COETZEE 5
1 Politecnico di Milano – Italy; 2 The Hong Kong Polytechnic University – Hong Kong; 3 National Geomatics Center China; 4 Shenzhen University – China; 5 University of Pretoria – South Africa
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Lesson2 esa summer_school_brovelli
1. GEO Laboratory
Citizen Generated Content and
FOS Participative Platforms:
VGI
Politecnico di Milano, DICA – GEO Laboratory
Maria Antonia Brovelli
2. 2
Topics of this lesson
● Citizen science and VGI
●
Quality Assesment of OpenStreetMap Data
●
Our systems and platforms
3. 3
Citizen science
Citizen science: scientific work
undertaken by members of the
general public, often in
collaboration with or under the
direction of professional scientists
and scientific institutions.
June 2014
It is a fairly new name but an old practice
4. 4
✔ Set of practices in which citizens participate in data collection, analysis
and dissemination of a scientific project (Cohn 2008)
✔ Classification (Haklay 2013)
Citizen science
✗ volunteered computing: citizens download data, run analyses on their own
computers and send back data to the server
✗ volunteered thinking: citizens perform classification works
✗ participatory sensing: applications centered on mobile phones capabilities
➔ 'classic' citizen science: amateurs engaged in traditional scientific activities
➔ community science: measurements and analysis carried out by amateurs in
order to set action plans to deal with environmental problems
➔ citizen cyberscience: use of computers, GPS receivers and mobile phones
5. 5
✔ Set of practices in which citizens participate in data collection, analysis
and dissemination of a scientific project (Cohn 2008)
✔ Classification (Haklay 2013)
Citizen science
✗ volunteered computing: citizens download data, run analyses on their own
computers and send back data to the server
✗ volunteered thinking: citizens perform classification works
✗ participatory sensing: applications centered on mobile phones capabilities
➔ 'classic' citizen science: amateurs engaged in traditional scientific activities
➔ community science: measurements and analysis carried out by amateurs in
order to set action plans to deal with environmental problems
➔ citizen cyberscience: use of computers, GPS receivers and mobile phones
6. 6
Citizen Science and Europe
✔ JRC Summit Technical Report “Citizen Science
and Smart Cities” - February 2014
(Max Craglia and Carlos Granell)
https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/
10. 10
Other Projects (just a selection...)
TU- Wien
http://cartography.tuwien.ac.at/emomap/
www.everyaware.eu/
Sound pollution
Air quality
http://www.opalexplorenature.org/
Open Air Lab
11. 11
Volunteered Geographic Information
The name was coined in 2007 (Goodchild),
but it was already a real practice.
Geopaparazzi. Because not all paparazzis are evil!
Field papers
12. 12
Volunteered Geographic Information: OSM
✔ The most popular project of Volunteered Geographic Information (VGI):
✔
born in 2004 for streets, then evolved into the largest, most diverse,
most complete & most up-to-date geospatial database of the world
✔
increasing number of contributors (currently about 2.5M)
✔
database available under an open license (ODbL)
✔
increasing interest from the academic community
13. 13
Quality assesment of OpenStreetMap Data
✔ Earliest researches on OSM quality assessment were all
focused on streets, that were the initial mapping target of the
OSM project.
✔ Recently, researches on other OSM elements have begun to
appear:
✔
completeness and accuracy of OSM point features
related to schools in Denver (Jackson et al. 2013)
✔
accuracy of OSM land use features in Portugal and
Germany (Estima and Painho, 2013; Jokar Arsanjani et
al. 2015)
✔
completeness and accuracy of the public properties
mapped in OSM for Victoria (Kalantari and La, 2015)
✔
completeness and accuracy of building footprints in OSM
14. 14
✔ Novel methodology to compare OSM and authoritative road datasets:
Assessing street quality
➔ fully automated
➔ focused on spatial accuracy and completeness
➔ flexible, i.e. not developed for a specific dataset
➔ built with FOSS4G (Free and Open Source Software for Geospatial)
✗ made of required and optional operations
✗ users can define the value of the parameters involved to adapt the
procedure to their specific authoritative datasets
✗ users are supposed to be familiar with the authoritative dataset used
as reference
✗ reusable and extensible in case of need
➔ written in Python
➔ available with a Graphical User Interface (GUI)
✔ Currently developed as 3 GRASS GIS modules:
15. 15
Steps of the assesment
Step 1
➔ sensitivity analysis on the buffer width
Step 2
➔ cleaning of OSM dataset to make it comparable with the
authoritative dataset
Step 3
➔ grid-based evaluation of OSM accuracy
Example max
deviation of
OSM from IGN :
case study Paris
16. 16
Steps of the assesment
✔ Step 1 WPS client→ http://131.175.143.84/WPS
✔ Steps 2/3 code available in github→
https://github.com/MoniaMolinari/OSM-roads-comparison
17. 17
OSM buildings accuracy: related work
AUTHORS AREA PURPOSE RESULTS
Goetz and Zipf (2012) Germany Investigate the suitability of OSM
data for 3D building model generation
Low completeness (30%); only the
0.5% of buildings with info about the
number of levels
Hecht et al. (2013) North Rhine
Westphalia and
Saxony
(Germany)
Evaluate the OSM building
completeness by means of a
comparison against an official
dataset.
Low degree of completeness; higher
in urban areas
Fan et al. (2014) Munich City
(Germany)
Comparison between OSM and
ATKIS (Authority Topographic-
Cartographic Information System)
buildings
High completeness; deficiencies in
attributes; high similariry in
shape;offset of 4 m
Tornros et al. (2015) Ludwigshafen
Municipality
(Germany)
Assessment of OSM building
completeness by means of a
comparison with the official cadastre
data
Analysis of the different assessment
methods and their effects on the
completeness results
Fram et al. (2015) Sheffield, Leeds
and london (UK)
Investigate the potential of OSM data
in Risk Management Solutions.
Comparison with Ordnance Survey
dataset.
Completeness very variable both
within and among UK cities
Klonner et al. (2015) Bregenz
(Austria)
Combine up-to-date OSM building
data with the rarely up-to-date LiDAR
information
Satisfactory level of upgrade of OSM
dataset; suitability for the proposed
application
18. Building quality assesment
✔ The quality assessment has been performed by comparing the OSM
data (downloaded in January 2016) against the building layer of the
official vector cartography of Milan Municipality (produced in 2012).
✔ Two different quality parameters were evaluated:
✔
completeness evaluation based on methods suggested by literature
✔
positional accuracy evaluation based on a novel, quasi-automated
matching algorithm developed at GEOlab – PoliMI
✔ The completeness analysis was performed through the area ratio unit-based
method proposed by Hecht et al. (2013)
C = AOSM
/AREF C = completeness
AREF
= total area of reference buildings
AOSM
= total area of OSM buildings
19. Completeness assessment
✔ The area ratio method can introduce an overestimation of C due to
exceeding data available in OSM. For this reason the computation of
three additional rates is recommended:
✔
True Positive (TP): the areas of agreement between the datasets
✔
False Positive (FP): the OSM building areas which do not exist in the
REF dataset
✔
False Negative (FN): the REF building areas which do not exist in the
OSM dataset.
20. Technicalities
DATASETS
- REF: buildings of Milan (Lombardy Region)
- OSM: building of Milan (OpenStreetMap)
- GRID: hexagonal grid
For each cell k of the grid:
• Extract the CELL
v.extract input=GRID output=CELL cats=k
• Extract OSM buildings
v.overlay ainput=OSM atype=“area” binput=CELL btype=“area”
operator=“and” output=OSM_CELL
• Extract REF buildings
v.overlay ainput=REF atype=“area” binput=CELL btype=“area”
operator=“and” output=REF_CELL
• Calculate the area of OSM_CELL and REF_CELL
v.to.db map=OSM_CELL ( or REF_CELL) option= “area” -p + Python code
21. Technicalities
For each cell k of the grid:
• Calculate the completeness index as (AreaOSM/AreaREF)*100
Python code
• Extract the overlapped area between OSM_CELL and REF_CELL
v.overlay ainput=OSM _CELL atype=“area” binput=REF_CELL
btype=“area” operator=“and” output=TP
• Calculate area of TP
v.to.db map=TP option= “area” -p + Python code
• Calculate TP rate as (AreaTP/AreaREF)*100
Python code
22. Completeness analysis results
✔ Spatial distribution of completeness rate in Milan area:
C VALUES %
> 100% 28.9%
80% < C < 100% 27.7%
60% < C < 80% 18.5%
40% < C < 60% 8%
C < 40% 16.9%
✔ The completeness of the OSM dataset is very high in the city center
and gradually decreases when moving towards the periphery.
23. TP analysis results
✔ Spatial distribution of TP rate in Milan area:
TP VALUES %
100% > C > 60% 63.9%
60% < C < 40% 16.0%
C < 40% 20.1%
✔ Results largely confirm the trend observed for C: OSM completeness is
higher in the city center and gradually lower in the peripheral areas.
24. Positional accuracy assessment
✔ Algorithms allowing to:
✔
the quasi-automated detection of homologous pairs between REF
and OSM by means of geometric, topological and semantic analyses;
✔
the application of a set of warping transformations to the OSM
dataset in order to optimize its match with the REF dataset
Homologous pairs:
A point PA on map M1 is
homologous of a point PB on
map M2 if the geographic
feature related to the two
points “corresponds”.
25. Positional accuracy assessment: analysis
Different representation of the
same feature:
Angle (direction) of a
segment:
Examples of compatible – incompatible points:
27. Positional accuracy analysis results
✔ The number of homologous pairs detected is approximately 100 000
Cell Points Trasf. ΔY
μ [m]
ΔX
μ [m]
d
μ [m]
0 19135 None 0.45 0.46 0.81
1-2 16480 None 0.35 0.46 0.77
2 18732 None 0.44 0.43 0.79
3-1 4318 None 0.28 0.41 0.71
The positional accuracy is the same in
both Milan center and periphery.
28. Positional accuracy analysis results
✔ Using the homologous points detected, it is possible to estimate the parameters
of an affine or MR spline transformation to remove the systematic translation and
reduce the mean distance: this warped layer may become the new version in the
OSM database
Cell Points Trasf. d
μ [m]
0 19135 None 0.81
Affine 0.56
Spline MR 0.50
1-2 16480 None 0.77
Affine 0.57
Spline MR 0.50
2 18732 None 0.79
Affine 0.55
Spline MR 0.49
3-1 4318 None 0.71
Affine 0.55
Spline MR 0.48
29. 29
Volunteered thinking
http://bit.ly/foss4game DUSAF (Lombardy)
1. Look at
the pixel
within the
blue
border
2. For that
pixel, choose
the most
suitable land
cover
category
3. Watch
the time!
4. Win scores and
badges and beat
your friends!
30. 30
Land cover validation game architecture
DUSAF Agreements 87 %
GLOBELAND30 Agreements 11 %
Disagreements 1 %
Land Cover Validation Game
Client ( JavaScript- Angular-Leaflet directives)
Web Portal
(PHP, Apache webserver with Linux)
Authentication
MySQL DatabaseQGIS
DUSAF
GL30
Disagreement
map
Geoserver
(CGR orthophotos)
31. 31
Participatory sensing applications
✔ ArchitecturalArchitectural
barriersbarriers ✔ Cultural elementsCultural elements
✔ Street furnitureStreet furniture ✔ BiodiversityBiodiversity
37. 37
Via Regina Cross-platform App
The application relies on Apache Cordova mobile application
development framework.
The map is built using mobile-friendly Leaflet library.
The data is stored in JSON format in a document-oriented
NoSQL PouchDB/CouchDB database.
Moreover the data stored in the ODK Aggregate server is
displayed.
The App is available as Web App
http://viaregina3.como.polimi.it/app/
or in Play and Apple Stores (Via Regina)
39. 39
PoliCrowd – A social World Wind platform
➔ Born for tourism, culture, sports & transportation Points Of Interest (POIs)
➔ POIs 3D visualization on NASA World Wind virtual globe
➔ participative functionalities: POIs collaborative enrichment & project creation
✔ Web-based 3D participatory platform, ongoing (Brovelli et al. 2013)
40. 40
PoliCrowd2.0 – A social World Wind platform
➔ non mono-thematic application – connection to any WMS and ODK server
➔ customizable data styling & multimedia support
➔ support for time dimension (4D visualization)
✔ Web-based 3D participatory platform
41. 41
PoliCrowd 2.0 architecture
In addition to the WMS servers, PoliCrowd 2.0 has also an innovative capability
to directly connect with any Open Data Kit (ODK) server available on the
network and publish the related data collected by the community
WMS Servers ODK Servers
Restful
API
Application
Server
MOBILE CLIENT
It allows to collect the
geo-data on the field
POLICROWD 2.0 CLIENT
It allows to interact with the data
uploaded by the users
POLICROWD 2.0 SERVER
Management of: accounts (authentications,
authorizations), projects, mutimedia contents
43. 43
Policrowd 2.0: Projects
Every user can:
● create, save and share their own projects
● populate them with both WMS and ODK layers
WMS and ODK layers can be added:
● by entering the specific URL of the server
● by selecting from a default list, constantly updated by aggregating all the
servers time to time inserted by the community
All the projects are publicly accessible by design, in order to promote the
community participation.
44. 44
Policrowd 2.0: POIs information
● Clickable POIs placemarks
● Visualization of the ODK Collect-reported information (including picture)
45. 45
Policrowd 2.0: ODK Layer customization
● ODK layers are fully customizable, thanks to a suitable layer management
interface
● Users select the fields they want to display for each layer of a given project, and
personalize marker icons by picking them from a default collection or providing
them manually
● Styles are also shareable, so that users can take advantage of the already
available icons provided by other users in their own projects
46. 46
Policrowd 2.0: Collaborative POIs characterization
Every marker is open to collaborative contribution: everyone can add their POI-
related textual (comments) and multimedia contents (images, audios and videos)
47. 47
Policrowd 2.0: the 4th dimension (time)
● The time bar enables temporal filtering of all the POIs on the globe, just by
picking a given date or setting a range
● More in-depth navigation through the content
● The same capabilities are also made available for multimedia data, which can
be independently filtered according to the date of the content upload or (if
provided) to the actual date of the element, e.g. useful to filter historical data
48. 48
WWW Policrowd
✔ The virtual globe, developed using NASA Web World Wind API
is able to display data stored in the ODK Aggregate server of
Via Regina project and in CouchDB database of aforementioned
cross-platform application, both on desktop and on mobile
devices through WebGL supported browsers.
✔ http://viaregina3.como.polimi.it/WorldWind/
50. 50
Contacts
Thanks for your attention!
Politecnico di Milano
Laboratorio di Geomatica – Polo Territoriale di Como
Via Valleggio 11, 22100 Como (Italy)
maria.brovelli@polimi.it
Thanks to all people contributing on these topics: Carolina
Arias, Irene Celino, Eylul Kilsedar, Marco Minghini, Monia
Molinari, Daniele Oxoli, Marco Pelucchi, Gabriele
Prestifilippo, Vijay Venkatachalam, Giorgio Zamboni,
Mayra Nucci Zurbaran