TC SMART MAPS - A 10 Years Journey with FMESafe Software
Transport Canada (TC) SMART MAPS is a comprehensive collection of over 300 GB of vector Kml data ranging from Safety & Security, Marine, Air and Rail Transportation (SMART). With over 100 unique map layers, this one-stop geospatial portal is used by various TC Departments including Marine Group, Aviation Group, Programs/Policy Group, and Surface Group (MAPS), enabling Policy Makers, Regulators, Inspectors and Enforcement Officers alike to collaborate, work smarter and make better business decisions.
Creating and indoor routable network with QGIS and pgRoutingRoss McDonald
Tim Manner from Ordnance Survey explains how they created an indoor routable network using QGIS and pgRouting. In 3D using QGIS2ThreeJS to build an interactive map with live routing.
TC SMART MAPS - A 10 Years Journey with FMESafe Software
Transport Canada (TC) SMART MAPS is a comprehensive collection of over 300 GB of vector Kml data ranging from Safety & Security, Marine, Air and Rail Transportation (SMART). With over 100 unique map layers, this one-stop geospatial portal is used by various TC Departments including Marine Group, Aviation Group, Programs/Policy Group, and Surface Group (MAPS), enabling Policy Makers, Regulators, Inspectors and Enforcement Officers alike to collaborate, work smarter and make better business decisions.
Creating and indoor routable network with QGIS and pgRoutingRoss McDonald
Tim Manner from Ordnance Survey explains how they created an indoor routable network using QGIS and pgRouting. In 3D using QGIS2ThreeJS to build an interactive map with live routing.
Did you ever fly around a country in 3D? In your standard web browser? Without plugins? 3D for the web is an emerging technology. WebGL enables web browsers to exploit the GPU of a computer to create beautiful and fast 3D worlds. It is time for web geoportals to go 3D. swisstopo was able to create a 3D viewer for the geoportal of the swiss confederation map.geo.admin.ch. We'll show you how it was done - and how Open Source enabled it.
Links to project: https://github.com/geoadmin/mf-geoadmin3
I’m a GIS Cartographer
I hold a Master’s degree in Geomatics .
I have over 14 years experience in the realization of project integrating component GIS and database, in collecting, processing and editing Geospatial data with Esri ArcGIS platform.
I collaborated with economists, developers and planners on diversified projects: energy, natural resources management, urban planning, mobility, land use and agriculture.
I’m also a GIS and computer graphics trainer ( ArcGIS, Illustrator ..) with strong background in quantitative geography and GIS analysis and fluent English and French.
Time is scarce and any time spent in traffic is a waste of time.Our choices and their sequences decides what can and cannot be achieved within the time window available to us. The time at which you start your journey influences the time you would take to complete(?) the journey. We currently have all the tools and technologies available for making real time decisions. The Plan, Do , Check and Act (PDCA) cycle was used to make a logical approach to decision making considering traffic conditions in the city of Berlin. Some directions for future are proposed .
cf. city flows - A comparative visualization of bike sharing systemsTill Nagel
cf. city flows is a comparative visualization environment of urban bike mobility designed to help citizens casually analyze three bike-sharing systems in the context of a public exhibition space.
By Till Nagel and Christopher Pietsch.
Urban Complexity Lab, FH Potsdam
<a>http://uclab.fh-potsdam.de/</a>
This talk introduces the project and some of its goals and visualizations, and shows our design process in analyzing the data and designing the visualizations.
cf. city flows was exhibited at the Streams and Traces in November 2015 in Berlin. Find more information at http://streamsandtraces.com/
More information coming soon.
My experiments with Openstreetmap in Chennai, India (SOTM09)Arun Ganesh
Snippets of the work i did with Openstreetmap in Chennai, India in trying to promote open geographic data and making use of OSM maps to solve the gap in public information.
Did you ever fly around a country in 3D? In your standard web browser? Without plugins? 3D for the web is an emerging technology. WebGL enables web browsers to exploit the GPU of a computer to create beautiful and fast 3D worlds. It is time for web geoportals to go 3D. swisstopo was able to create a 3D viewer for the geoportal of the swiss confederation map.geo.admin.ch. We'll show you how it was done - and how Open Source enabled it.
Links to project: https://github.com/geoadmin/mf-geoadmin3
I’m a GIS Cartographer
I hold a Master’s degree in Geomatics .
I have over 14 years experience in the realization of project integrating component GIS and database, in collecting, processing and editing Geospatial data with Esri ArcGIS platform.
I collaborated with economists, developers and planners on diversified projects: energy, natural resources management, urban planning, mobility, land use and agriculture.
I’m also a GIS and computer graphics trainer ( ArcGIS, Illustrator ..) with strong background in quantitative geography and GIS analysis and fluent English and French.
Time is scarce and any time spent in traffic is a waste of time.Our choices and their sequences decides what can and cannot be achieved within the time window available to us. The time at which you start your journey influences the time you would take to complete(?) the journey. We currently have all the tools and technologies available for making real time decisions. The Plan, Do , Check and Act (PDCA) cycle was used to make a logical approach to decision making considering traffic conditions in the city of Berlin. Some directions for future are proposed .
cf. city flows - A comparative visualization of bike sharing systemsTill Nagel
cf. city flows is a comparative visualization environment of urban bike mobility designed to help citizens casually analyze three bike-sharing systems in the context of a public exhibition space.
By Till Nagel and Christopher Pietsch.
Urban Complexity Lab, FH Potsdam
<a>http://uclab.fh-potsdam.de/</a>
This talk introduces the project and some of its goals and visualizations, and shows our design process in analyzing the data and designing the visualizations.
cf. city flows was exhibited at the Streams and Traces in November 2015 in Berlin. Find more information at http://streamsandtraces.com/
More information coming soon.
My experiments with Openstreetmap in Chennai, India (SOTM09)Arun Ganesh
Snippets of the work i did with Openstreetmap in Chennai, India in trying to promote open geographic data and making use of OSM maps to solve the gap in public information.
Crowdsourcing geodata for public transport informationArun Ganesh
How crowdsourcing was used to overcome the lack of public transport in Chennai, india.
Presented at Indian Institute of Science, Bangalore for Mobilicity
http://mobilicity.praja.in/
Improving the Customer Experience - pt 5 of "A Market Focused Paradigm for Pu...Alan Hoffman
This is the FIFTH in a series of presentations that deals with the question: how can we make public transit systems more effective at attracting new riders and shaping urban regions? Alan Hoffman, an internationally recognized expert in transit markets, discusses the findings of market research he has conducted or supervised, as well as his work advising cities and regions across the planet on how to improve their transit systems.
This fifth presentation explores the third of the three key strategic variables introduced in Part Two: Customer Experience. It features detailed views of twelve of the many dimensions of customer experience, with many dozens of examples drawn from around the world.
The Mission Group is a strategy firm that has helped many cities devise strategies to boost the long-term effectiveness of their transit planning so that they can set and achieve ambitious goals for transforming the role that transit plays in their regions. We're the experts in transit markets.
Of Nodes and Maps (Web Mapping with Drupal - Part II)Ranel Padon
Discusses the input, storage, and display mechanisms of spatial fields on nodes: how to utilize Geofield's input widgets and output formatters, how to integrate Geofield with Leaflet and OpenLayers, and how to integrate them with Views.
Do you choose Openlayers or Leaflet to generate maps on your websites because that's what you always choose?
Is one better than the other?
We will take a few use cases and show how they could be build with both Openlayers and Leaflet, and discuss what criteria could be to choose either.
Automating Transportation Feeds into ArcMap ProductsSafe Software
Automating Transportation Feeds into ArcMap Products by focusing on capturing data, data automation and display. Two processes will be demonstrated; The first being the Capital Bike Share station XML page transformed in FME and scheduled in FME server to automate a map service. The second demonstration is the Metro (WMATA) "next train" api feed transformed in FME and scheduled in the FME server to create an automated map service.
TransportCamp AU Presentation: Designing a multimodal, high-frequency network...Patrick Sunter
My presentation at the inaugural TransportCampAU in Melbourne, Nov 1 (http://www.transportcamp.org.au/events/transportcamp-melbourne-2014) about work with Beyond Zero Emissions (http://bze.org.au/) to design a high-frequency bus network, assisted by open source tools such as OpenTripPlanner.
A presentation by Neil Frost (Chief Executive Officer: iSAHA), at the Transport Forum SIG: "Cost Effective Public Transport Management Systems" on 12 May 2016 hosted by University of Johannesburg. The theme of the presentation was: "Big Data and Public Transport."
If you're interested in making maps, check out our roundup of free map making software. There's something for beginners and advanced map nerds alike. Check out the full blog here: http://januaryadvisors.com/best-free-tools-for-making-maps/
Smart bus system pilot project (BUSKET)Minh S. Dao
BUSKET is a wireless system aimed at supporting the quality of bus transportation service in Brunei Darussalam. BUSKET exploits low-cost wireless technologies for the real-time estimation of the buses position throughout the road network and to communicate to the users when one bus approaches the bus stop. The goal of BUSKET is to make smarter the bus transportation system and to improve the user awareness about the status of the bus service. From the user perspective, BUSKET will reduce the waiting time of citizens at the bus stops, while from the bus management viewpoint will enable a more centralized and pervasive control of the whole transportation network. BUSKET will use commercial smartphones (already diffused among citizens) as well as low-cost wireless GPS sensors to enable the acquisition of position information and to communicate with the users.
BUSKET is the joint-research between UTB, ELEDIA, and AITI
Build 2017 - B8058 - Location intelligence and personalized experiences with ...Windows Developer
Bing Maps provides a flexible platform to infuse location intelligence into your applications. From personalized experiences for your next campaign, over conversational interaction to sophisticated APIs supporting advanced scenarios in the logistics sector, Bing Maps has you covered. In this session, learn about the new features and APIs launched this week.
Developing Spatial Applications with Google Maps and CARTOCARTO
Learn how CARTO integrates with Google Maps to unlock the advanced visualization capabilities of deck.gl and enables developers to build geospatial apps. You can watch the recorded webinar here: https://go.carto.com/webinars/google-maps-and-carto
The web offers many free tools for basic GIS analysis and visualization. Steve Schild, GIS Manager at the Rutland Regional Planning Commission, highlights the best in this slideshow.
Similar to Powering Transit Information with Open Data (20)
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.