This is an introduction about the Western province of Sri Lanka that was prepared to fulfill the requirement of a course unit of Master of Natural Environmental Studies, Utokyo.
Transportation involves the movement of people and the shipment of goods from one location to another.
A geospatial model of a transportation network is comprised of linear features and the points of intersection between them.
The PPT was used for the presentation of the GIS application for defense purpose and the satellites used by the INA (Indian National Army), INAF (Indian Navy Armed Forces) and the IAF (Indian Air Force).
Transportation involves the movement of people and the shipment of goods from one location to another.
A geospatial model of a transportation network is comprised of linear features and the points of intersection between them.
The PPT was used for the presentation of the GIS application for defense purpose and the satellites used by the INA (Indian National Army), INAF (Indian Navy Armed Forces) and the IAF (Indian Air Force).
Prof Ni-Bin Chang talked about the urban growth model to be adopted in the "Flood impact assessment in mega cities under urban sprawl and climate change" project.
Prof Ni-Bin Chang talked about the urban growth model to be adopted in the "Flood impact assessment in mega cities under urban sprawl and climate change" project.
The main aim (purpose) of the IMPULS project has been to assist beneficiary organisations in the Western Balkan region to develop cross-border compati-ble National Spatial Data Infrastructures (NSDI’s) in accordance with the principles of the European INSPIRE Directive.
The project has been funded by Sida (Sida’s contribution no: 55020189) and implemented in the region of Western Balkan from June 2014 to December 2019.
The Expected Project impacts have been:
• INSPIRE Directive is implemented in the region, enabling the beneficiary countries to meet the EU-requirements in this area;
• Interoperable content and services are delivered efficiently, supporting the development of e-government in each country as well as adding value to government and local administration, all in accordance with the Public-Sector Information (PSI) Directive; and
• Implementation of the INSPIRE Directive, supported through this project, has contributed to the economic development, transparency of ownership and anticorruption processes, in accordance with SEE 2020 (specifically in the dimensions” Competitiveness”, “Effective public services” and “Anti-corruption”.
Following outcomes has been expected:
• Beneficiary Organisations understand how they contribute to an efficient SDI and have a clear view of the different SDI roles (user, producer and coordinator) and there are mutual respects between agencies having these roles throughout the region.
• Beneficiary Organisations are using data from other sources, both national and regional, and using the different components in the SDI (metadata, portal, services etc.) when producing, using and providing data.
• Beneficiary Organisations are proactively driving the SDI-work and re-moving obstacles to share data in the region as well as actively developing and promoting NSDI’s. Beneficiary Organisations are working in national and regional forums with different organisations as the normal way of working, using the network and roles initiated by the IMPULS project for regular meetings and ad hoc task force when needed.
Lantmäteriet has been the implementing partner of the project, working to-gether with the State Geodetic Administration of the Republic of Croatia (SGA).
The beneficiary organisations in the Wester Balkan region have been:
• State Agency of Cadastre (SAC), previously Immovable Property Central Registration Office of the Republic of Albania (IPRO)
• State Authority for Geospatial Information in Albania (ASIG)
• Federal Administration for Geodetic and Real Property Affairs of FB&H (FGA)
• Republic Authority for Geodetic and Property Affairs of the Republic of Srpska (GARS)
• Kosovo Cadastral Agency (KCA)
• Agency for the Real Estate Cadastre of the Republic of North Macedonia (AREC)
• Real Estate Ad
The Dublinked Data Visualisation Competition was officially launched on Wednesday 19th March 2014, as part of the Dublinked Innovation Network’s second Data Visualisation event, held in NUI Maynooth. Speakers on the day included Andy Kirk (VisualisingData.com), Eoghan McCarthy (AIRO NUIM) and Oliver Mooney (GetBulb). The event received great turnout with over 50 people in attendance, of those in attendance skill sets ranged from data visualisation novice, enthusiast to expert. Read More via Dublinked.ie
Integrating spatial and thematic data: the CRISOLA case for Malta and the Eur...Beniamino Murgante
Integrating spatial and thematic data: the CRISOLA case for Malta and the European project Plan4all
Saviour Formosa - Institute of Criminology, University of Malta
Vincent Magri - Fondazzjoni Temi Zammit, University of Malta
Julia Neuschmid, Manfred Schrenk - Department for Urbanism, Transport, Environment and Information Society, Central European Institute of Technology, Austria
Overview of SK INSPIRE transposition and implementation
04.07.2013, TAIEX 53350 Macedonia Study visit on INSPIRE interoperability data sets and services @ Slovak environmental agency, Banská Bystrica, Slovakia
'Planning Reform on the island of Ireland: From Policy to Practice', Cooperat...Justin Gleeson
With the impending transfer of statutory planning functions from central government to new councils in Northern Ireland in 2015 under the Review of Public Administration (RPA) and significant changes being made to the planning system in the Republic of Ireland, this aptly timed seminar will provide plenty of opportunity for lively open debate and discussion on the important – and common – planning decisions facing both jurisdictions.
Extraction of bicycle commuter trips from day long gps trajectoriescdc2013workshop
Gerald Richter, Christian Rudloff, Anita Graser
Austrian Institute of Technology, Austria
Topic: “Extraction of bicycle commuter trips from day-long GPS trajectories”
Accessibility of health services - transporting people and servicesSTN IMPRO
IMPRO:n järjestämässä Paikkatieto sote-uudistuksen tukena -seminaarissa 8.10.2019 Helsingin yliopistolla Oulun yliopiston Tiina Lankila ja Tiina Huotari esittelivät tuloksiaan terveydenhuollon saavutettavuus -tutkimuksistaan. Esityksessä keskityttiin erityisesti palveluiden mobiliteettiin sekä asiakkaiden liikkumiseen.
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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.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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.
2. Content
1. Data
2. General introduction
3. GIS analysis results
• Area
• Inland water
• Population
• Land use
• Road network
• Railways
4. Places
2
3. Data and software
1. Vector data
• Polygons and Line layers
• Data source : Survey department of Sri Lanka through the GIS
and Remote sensing course in PGIS of University of Peradeniya
2. Raster data
• Photos
• Data source : Internet
3. Other
• Census
• Data source : Department of Census and Statistics of Sri Lanka
and www.citypopulation.de
3
Software - ArcGIS, MS Excel
Data
5. Area (km2)
5
• Total area
• 3078.30 Km2
• Inland water
• About 91 km2
Data source : Survey department of Sri Lanka and
Department of census and statistics of Sri Lanka
• Streams
• 1317 km
GIS analysis - Area
6. Population
Total population
5,851,130 (5.8 millions)
• ~ 44% of Total population
of Sri Lanka
• Gampaha and Colombo
are the highest populated
Data source : Department of census and statistics
of Sri Lanka
6
GIS analysis - Population
7. Population
distribution
DS unit wise
Population
7
Total population
5,851,130 (5.8 millions)
• ~ 44% of Total population
of Sri Lanka
• Gampaha and Colombo
are the highest populated
GIS analysis - Population
Data source : Department of census
and statistics of Sri Lanka and
http://www.citypopulation.de/SriLank
a-Cities.html
8. Population density
The highest in West part/costal
line
Population
8
Data source : Department of census
and statistics of Sri Lanka and
http://www.citypopulation.de/SriLank
a-Cities.html
Population
distribution
DS unit wise
GIS analysis - Population
9. Population
9
Colombo city properPopulation density
The highest in West part/costal
line
GIS analysis - Population
Data source : Department of census and statistics of Sri Lanka
10. General
Land Use
Data source : Department of Survey Sri Lanka
10
A Coconut plantation
Sunday Observer(2010)
Paddy fields
https://www.flickr.com/photos/858
6609@N04/2298023333
General Land Use vs Population density GIS analysis – Land use
11. 11
General Land Use vs Population density
Data source : Department of Survey Sri Lanka
Specific factors of Higher population
density area
• Export processing zones – industries
• Harbor and Airport
• Tourism industry in coastal regions
GIS analysis - comparison
12. Road network
Data source : Survey department of Sri Lanka 12
• A category – main
roads
• 273 km
• B category –
secondary roads
• 504 km
• Total road network
• 2006 km
GIS analysis - Roads