State of the Map '09 presentation. Covering spatial data quality and comparison of Ordnance Survey data (Meridian 2, 10K Raster, MasterMap ITN) to OSM for England.
Some material appeared in previous presentation.
Improving transport in Malta using GIS and LBSMatthew Pulis
A presentation prepared to the University of Malta as part of my MSc. Informatics. This seminar discusses ways and improvements how can a GIS driven system help and improve the current situation in Malta. This presentation also provides a survey discussing how the Maltese view the public transport and gives out interesting conclusions as to where the GIS needs to tackle. The study focuses mainly on ways as to where and how to improve the routes, promoting cultural places, buses ETA and taxi fleet handling amongst others.
Accessibility Analysis and Modeling in Public Transport Networks - A Raster b...Beniamino Murgante
Accessibility Analysis and Modeling in Public Transport Networks - A
Raster based Approach
Morten Fuglsang, - National Environmental Research Institute, Aarhus
University and Aalborg University Copenhagen
Henning Sten Hansen - Aalborg University Copenhagen
Bernd Münier - National Environmental Research Institute, Aarhus University
Improving transport in Malta using GIS and LBSMatthew Pulis
A presentation prepared to the University of Malta as part of my MSc. Informatics. This seminar discusses ways and improvements how can a GIS driven system help and improve the current situation in Malta. This presentation also provides a survey discussing how the Maltese view the public transport and gives out interesting conclusions as to where the GIS needs to tackle. The study focuses mainly on ways as to where and how to improve the routes, promoting cultural places, buses ETA and taxi fleet handling amongst others.
Accessibility Analysis and Modeling in Public Transport Networks - A Raster b...Beniamino Murgante
Accessibility Analysis and Modeling in Public Transport Networks - A
Raster based Approach
Morten Fuglsang, - National Environmental Research Institute, Aarhus
University and Aalborg University Copenhagen
Henning Sten Hansen - Aalborg University Copenhagen
Bernd Münier - National Environmental Research Institute, Aarhus University
Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...Safe Software
It is of interest to explore the spatial correlation between traffic collisions and other types of available data, for example demographic and economic information, land-use, license premises and weather. To effectively prepare the data for further analysis, the City of Edmonton Office of Traffic Safety used a series of extract-transform and load (ETL) tools provided by FME. This presentation will introduce three key ETL processes performed with FME: 1) manipulate roadway GIS data for network-based spatial analysis; 2) build spatial connection between various sources of data; 3) effectively prepare the proper format of spatial data to establish advanced spatial statistics.
Analysis and presentation of the Telecom Italia Big data Challenge and discuss how the Big Data open challenges help to get the new insights of the collected data. Also, these challenges help and motivate other people to work on Data Analysis.
PathS: Enhancing Geographical Maps with Environmental Sensed DataUniversity of Geneva
The widespread adoption of mobile technology has opened the door to a new era for the public health sector. The ability to collect, share and access community health related data are key factors that have made mobile health an appealing addon to medicine practitioners and researchers. Mobile sensing and wireless communications can be exploited to create new information and services that could help prevent health risks, benefiting the community as a whole. As a proof of concept, we have developed an augmented reality application offering an enhanced pedestrian route navigation system, while at the same time gathering quality data through the devices. Thanks to this application we are able to enrich geographical maps on the web with historical data about brightness and noise levels, and to provide pedestrians with an improved navigation.
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
As part of the 2014 CTR Symposium, Dr. Stephen Boyles discussed the fundamentals of dynamic traffic modeling, and the field's frontiers moving forward.
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...IJECEIAES
The reliability of any embedded navigator in advanced vehicular system depends upon correct and precise information of navigational data captured and processed to offer trustworthy path. After reviewing the existing system, a significant trade-off is explored between the existing navigational system and present state of controller design on various case studies and applications. The existing design of controller system for navigation using error-prone GPS/INS data doesn’t emphasize on sliding mode controller. Although, there has been good number of studies in sliding mode controller, it is less attempted to optimize the navigational performance of a vehicle. Therefore, this paper presents a novel optimized design of a sliding mode controller that can be effectively deployed on advanced navigational system. The study outcome was found to offer higher speed, optimal control signal, and lower error occurances to prove that proposed system offers reliable and optimized navigational services in contrast to existing system.
(Slides) A demand-oriented information retrieval method on MANETNaoki Shibata
Enomoto, M., Shibata, N., Yasumoto, K., Ito, M. and Higashino, T.: A demand-oriented information retrieval method on MANET, International Workshop on Future Mobile and Ubiquitous Information Technologies (FMUIT'06).
http://ito-lab.naist.jp/themes/pdffiles/060510.makoto-e.fmuit06.pdf
In urban areas including shopping malls and stations
with many people, it is important to utilize various information
which those people have obtained. In this paper, we
propose a method for information registration and retrieval
in MANET which achieves small communication cost and
short response time. In our method, we divide the whole application
field into multiple sub-areas and classify records
into several categories so that mobile terminals in an area
holds records with a category. Each area is associated with
a category so that the number of queries for the category
becomes the largest in the area. Thus, mobile users search
records with a certain category by sending a query to nodes
in the particular area using existing protocol such as LBM
(Location-Based Multicast). Through simulations supposing
actual urban area near Osaka station, we have confirmed
that our method achieves practical communication
cost and performance for information retrieval in MANET.
A dynamic cruise control system for effective navigation system IJECEIAES
With the fast development of artificial intelligence, robotics, and embedded system along with sensor technologies, the speed control mechanism is required in various other applications such as automatic or self-piloting aircraft, auto-driven vehicles, auto driven lifts and much other robotics based automation plants, etc. For each unpredictable and progressed vehicular framework accompanies a better route that is fit for utilizing the two GPS and INS related sign. There have been a noteworthy number of research works being completed towards creating sliding mode control framework. In case of inaccurate navigational data or no availability of navigational service, the cruise control could also stop working. Hence, there is a need to evolve up with a novel system offering reliable and fault tolerant navigation system in order to minimize the dependencies on GPS-based information and maximize the utilization of INS based information. This manuscript presents a dynamic cruise control system to achieve better navigation under uncertainties. The performance of the system is analyzed by incorporating sliding mode and fuzzy logic and achieves better accuracy in tracking error, computational complexity (28 sec of simulation time) under chattering and switching action operation.
[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.
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...civejjour
Land use and transportation planning are inter-dependent, as well as being important factors in forecasting urban development. In recent years, predicting traffic based on land use, along with several other variables, has become a worthwhile area of study. In this paper, it is proposed that Deep Neural Network Regression (DNN-Regression) and Recurrent Neural Network (DNN-RNN) methods could be used to predict traffic. These methods used three key variables: land use, demographic and temporal data. The proposed methods were evaluated with other methods, using datasets collected from the City of Calgary, Canada. The proposed DNN-Regression focused on demographic and land use variables for traffic prediction. The study also predicted traffic temporally in the same geographical area by using DNN-RNN. The DNN-RNN used long short-term memory to predict traffic. Comparative experiments revealed that the proposed DNN-Regression and DNN-RNN models outperformed other methods.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
OpenStreetMap Completeness for England 03/10Muki Haklay
Set of maps which show the completeness of OpenStreetMap when compared to Ordnance Survey Meridian 2 database. For more details, see povesham.wordpress.com
Using FME to Manipulate Various Sources of Data for Traffic Collision Spatio-...Safe Software
It is of interest to explore the spatial correlation between traffic collisions and other types of available data, for example demographic and economic information, land-use, license premises and weather. To effectively prepare the data for further analysis, the City of Edmonton Office of Traffic Safety used a series of extract-transform and load (ETL) tools provided by FME. This presentation will introduce three key ETL processes performed with FME: 1) manipulate roadway GIS data for network-based spatial analysis; 2) build spatial connection between various sources of data; 3) effectively prepare the proper format of spatial data to establish advanced spatial statistics.
Analysis and presentation of the Telecom Italia Big data Challenge and discuss how the Big Data open challenges help to get the new insights of the collected data. Also, these challenges help and motivate other people to work on Data Analysis.
PathS: Enhancing Geographical Maps with Environmental Sensed DataUniversity of Geneva
The widespread adoption of mobile technology has opened the door to a new era for the public health sector. The ability to collect, share and access community health related data are key factors that have made mobile health an appealing addon to medicine practitioners and researchers. Mobile sensing and wireless communications can be exploited to create new information and services that could help prevent health risks, benefiting the community as a whole. As a proof of concept, we have developed an augmented reality application offering an enhanced pedestrian route navigation system, while at the same time gathering quality data through the devices. Thanks to this application we are able to enrich geographical maps on the web with historical data about brightness and noise levels, and to provide pedestrians with an improved navigation.
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
As part of the 2014 CTR Symposium, Dr. Stephen Boyles discussed the fundamentals of dynamic traffic modeling, and the field's frontiers moving forward.
Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mod...IJECEIAES
The reliability of any embedded navigator in advanced vehicular system depends upon correct and precise information of navigational data captured and processed to offer trustworthy path. After reviewing the existing system, a significant trade-off is explored between the existing navigational system and present state of controller design on various case studies and applications. The existing design of controller system for navigation using error-prone GPS/INS data doesn’t emphasize on sliding mode controller. Although, there has been good number of studies in sliding mode controller, it is less attempted to optimize the navigational performance of a vehicle. Therefore, this paper presents a novel optimized design of a sliding mode controller that can be effectively deployed on advanced navigational system. The study outcome was found to offer higher speed, optimal control signal, and lower error occurances to prove that proposed system offers reliable and optimized navigational services in contrast to existing system.
(Slides) A demand-oriented information retrieval method on MANETNaoki Shibata
Enomoto, M., Shibata, N., Yasumoto, K., Ito, M. and Higashino, T.: A demand-oriented information retrieval method on MANET, International Workshop on Future Mobile and Ubiquitous Information Technologies (FMUIT'06).
http://ito-lab.naist.jp/themes/pdffiles/060510.makoto-e.fmuit06.pdf
In urban areas including shopping malls and stations
with many people, it is important to utilize various information
which those people have obtained. In this paper, we
propose a method for information registration and retrieval
in MANET which achieves small communication cost and
short response time. In our method, we divide the whole application
field into multiple sub-areas and classify records
into several categories so that mobile terminals in an area
holds records with a category. Each area is associated with
a category so that the number of queries for the category
becomes the largest in the area. Thus, mobile users search
records with a certain category by sending a query to nodes
in the particular area using existing protocol such as LBM
(Location-Based Multicast). Through simulations supposing
actual urban area near Osaka station, we have confirmed
that our method achieves practical communication
cost and performance for information retrieval in MANET.
A dynamic cruise control system for effective navigation system IJECEIAES
With the fast development of artificial intelligence, robotics, and embedded system along with sensor technologies, the speed control mechanism is required in various other applications such as automatic or self-piloting aircraft, auto-driven vehicles, auto driven lifts and much other robotics based automation plants, etc. For each unpredictable and progressed vehicular framework accompanies a better route that is fit for utilizing the two GPS and INS related sign. There have been a noteworthy number of research works being completed towards creating sliding mode control framework. In case of inaccurate navigational data or no availability of navigational service, the cruise control could also stop working. Hence, there is a need to evolve up with a novel system offering reliable and fault tolerant navigation system in order to minimize the dependencies on GPS-based information and maximize the utilization of INS based information. This manuscript presents a dynamic cruise control system to achieve better navigation under uncertainties. The performance of the system is analyzed by incorporating sliding mode and fuzzy logic and achieves better accuracy in tracking error, computational complexity (28 sec of simulation time) under chattering and switching action operation.
[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.
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
DEEP LEARNING NEURAL NETWORK APPROACHES TO LAND USE-DEMOGRAPHIC- TEMPORAL BA...civejjour
Land use and transportation planning are inter-dependent, as well as being important factors in forecasting urban development. In recent years, predicting traffic based on land use, along with several other variables, has become a worthwhile area of study. In this paper, it is proposed that Deep Neural Network Regression (DNN-Regression) and Recurrent Neural Network (DNN-RNN) methods could be used to predict traffic. These methods used three key variables: land use, demographic and temporal data. The proposed methods were evaluated with other methods, using datasets collected from the City of Calgary, Canada. The proposed DNN-Regression focused on demographic and land use variables for traffic prediction. The study also predicted traffic temporally in the same geographical area by using DNN-RNN. The DNN-RNN used long short-term memory to predict traffic. Comparative experiments revealed that the proposed DNN-Regression and DNN-RNN models outperformed other methods.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
OpenStreetMap Completeness for England 03/10Muki Haklay
Set of maps which show the completeness of OpenStreetMap when compared to Ordnance Survey Meridian 2 database. For more details, see povesham.wordpress.com
Extreme Citizen Science: the socio-political potential of citizen scienceMuki Haklay
Slides from a talk at the International Congress for Conservation Biology / European Congress for Conservation Biology 2015 (Montpellier 2-6 August). The talk positioned citizen science within the wider context of production and use of environmental information, and emphasised the need to extend citizen science to a wider audience. It also demonstrated how technology can be used within a careful participatory process.
#FuturePub - Citizen Science, Open Science & scientific publicationsMuki Haklay
Slides from a short talk at the #FuturePub 7 event, London, 10 May 2016. Covering a bit of background of citizen science, explaining the link to open science, and issues of scientific publishing that emerge from these interactions
Building centre event "mapping for making" Muki Haklay
Description of current activities of Mapping for Change, and the new community mapping system, as well as other technologies are being used in community mapping and citizen science.
A talk exploring the different ways to analyse the policy aspects of citizen science, especially from the persepctive of environmental protection agencies in Europe. More information at http://wp.me/p7DNf-mE
Extreme Citizen Science: Current Development Muki Haklay
Slides from a talk to UCL Institute of Global Prosperity soundbites event - 5th November 2015.
With a growing emphasis on civil society-led change in diverse disciplines, from International Development to Town Planning, there is an increasing demand to understand how institutions might work with the public effectively and fairly.
Extreme Citizen Science is a situated, bottom-up practice that takes into account local needs, practices and culture and works with broad networks of people to design and build new devices and knowledge creation processes that can transform the world.
In this talk, Muki will discuss the work of UCL Extreme Citizen Science group within the wider context of the developments in the field of citizen science.He will cover the work that ExCiteS has already done, currently developing and plans for the future.
https://www.igp.ucl.ac.uk/igp-events-pub/muki-haklay-extreme-citizen-science
Overview of Citizen Science - Zurich November 2015Muki Haklay
A presentation that provides an overview of the societal & technical trends that are at the basis of citizen science (as in previous talks), then a classification of the main types of citizen science and finally a short overview of policy trends.
Citizen Observatories: Mapping for Change air quality studiesMuki Haklay
Slides from the Citizens Observatories conference in Brussels, covering citizen science for community empowerment. The talk focuses on Mapping for Change work with 20 groups in London. Data management and tools are also covered.
What happens when instead of asking the crowd for help, the question of what is explored is handed over to the participants?
The potential of bottom-up citizen science has increased dramatically in the past decade. To understand this, we can look at the societal and technological changes that led to this proliferation, and then explore the challenges, risks and opportunities that this approach presents.
This seminar will also be live webcast here: https://www.youtube.com/watch?v=DqY8Jv5r4bs
Eye on Earth Summit - Data Revolution plenary Muki Haklay
The presentation explores the place for extreme citizen science within the landscape of citizen science in general. The first half looks at the history of citizen science and highlights the education transition that happened while citizen science evolved , while the second half explains what is extreme citizen science and the roles of the technological tools that have been developed within the ExCiteS group, with an open invitation for others to join the effort.
Citizen Science & Geographical Technologies: creativity, learning, and engage...Muki Haklay
These slides are from a keynote talk at the Esri Education User Conference in 2016, about citizen science and extreme citizen science, and their link to geographical technologies
Citizen science - theory, practice & policy workshopMuki Haklay
These slides are from a 3.5h workshop, as part of the Israeli Geographical Association, Jerusalem, 14 Dec 2015. The workshop provided knowledge of the field of citizen science and current trends that influence it; Helped participants to understand the principles and practical aspects of designing a citizen science project; Included a session with hands-on experience of citizen science activity; Learn about additional resources that can be used to design and run citizen science projects; Understand the policy trends that are influencing the field.
Many of the slides are from previous talks with organisation and ordered in a way that they are suitable for the workshop
Paper from the Programmable City workshop data and the city. See more details on my blog at http://wp.me/p7DNf-sX for description of the workshop. The paper explores the link between citizen science and philosophy of technology
Haw GIScience lost its interdisciplinary mojo?Muki Haklay
These are the slides from my talk at the GISCience 2016 conference. There is more information on my blog, but the abstract is:
Over the past 25 years, I have experienced an inside track view of two interdisciplinary research fields: Geographical Information Science (GIScience) and Citizen Science. Over that period, I was also involved in about 20 multidisciplinary, cross-disciplinary, interdisciplinary, and transdisciplinary projects. As a result, I also found myself evaluating and funding x-disciplinary projects.
On the basis of these experiences, I’d argue that Interdisciplinarity is always hard, risky, require compromises, accommodations, listening, and making mistakes. The excitement from the outputs and outcomes does not always justify the price. Frequently, there is no-follow on project – it’s been too exhausting.
Considering the project level challenges, viewing interdisciplinary areas of studies emerging is especially interesting. You can notice how concepts are being argued and agreed on. You can see what is inside and what is outside, and where the boundary is drawn. You can see how methodologies, jargon, acceptable behaviour, and modes of operations get accepted or rejected – and from the inside, you can nudge the field and sometimes see the impact of your actions.
GIScience was born as an interdisciplinary field of study, and the period of consolidation that I have seen was supposed to lead to stability and growth. This did not happen. Take any measure that you like: size of conferences, papers – or even the argument if the field deserve a Wikipedia page. Something didn’t work.
In contrast, Citizen Science is already attracting to its conferences audience in the many hundreds – the Citizen Science Association include 4000 (free) members, The European Citizen Science Association 180 (paid) – and that is in the first 2 years since they’ve established.
In the talk, I explore the way in which interdisciplinary projects and fields work, highlight the similarities and differences, and suggest the issues that have led to the outcomes that we see today
Slides from my talk in the European Citizen Science Conference in Berlin, May 2016. The talk look at issues of participation, citizen science and open science, and a bit about implications. It's about participation inequality and educational attainment of participants
Presented at the 46th Society of Cartographers Summer School in Manchester on September 10 2010. The abstract for the talk was as follows: "OpenStreetMap is coming of age, but as it starts to be used more in the mainstream, the age-old questions of quality and completeness are coming to the fore. A range of data sources have been used to build up the map in the UK, from GPS traces to aerial imagery, historic mapping, NaPTAN and the OS Open Data release, each with their own benefits and limitations. This talk looks at a number of studies and tools developed to quantify, compare and address accuracy and coverage of the project in the UK, in an attempt to answer the key questions - is it complete yet and just how good is it?"
National Highway Alignment from Namakkal to Erode Using GISIJERA Editor
The vision of the Highway Alignment is to increase the capacity, connectivity, efficiency and safety of the Highways System so as to enable balanced socioeconomic development of all sections of the people and all regions from NAMAKKAL to ERODE via and to reduce the traffic and travelling of the state. It is to establish shortest path for road network time in the roads which provide a better and comfortable base for updating the traffic and other related information in road administration. It is to identify the short route for the vehicles traveling from NAMAKKAL to ERODE and to reduce the time travel for the vehicles with possible paths or routes or places for laying eco-friendly highway. To optimize the route for the vehicles traveling from NAMAKKAL to ERODE using GIS with Network analysis tools. From this we can find the suitable route for peoples to carry out without any traffic disturbances and protecting the environment. It also took advantages of GIS capabilities that offer the ability to overlay maps, merge them, and perform spatial analysis on various layers of information in either two or three dimensions
Bruce Thompson on digital disruption and the environment OCESAdmin
Bruce Thompson talks about land capability mapping in the Victorian context at IPAA Public Sector Week session on digital disruption and the environment, sponsored by the Commissioner for Environmental Sustainability and Nous Group.
Balistrocchi, M., Metulini, R., Carpita, M., and Ranzi, R.: Dynamic maps of human exposure to floods based on mobile phone data, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-201, in press, 2020
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction on various transportation methods. Therefore, in this research using location awareness applications installed in mobile devices, data related to user mobility were collected by using crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to overcome the problem. By using this, the best transportation method can be predicted as the results of the research. Therefore, people can choose what will be the best time slots & transportation methods when planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper
way to predict the traffic and recommend the best route considering the time factor and the people’s
satisfaction on various transportation methods. Therefore, in this research using location awareness
applications installed in mobile devices, data related to user mobility were collected by using
crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to
overcome the problem. By using this, the best transportation method can be predicted as the results of the
research. Therefore, people can choose what will be the best time slots & transportation methods when
planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
Predictive geospatial analytics using principal component regression IJECEIAES
Nowadays, exponential growth in geospatial or spatial data all over the globe, geospatial data analytics is absolutely deserved to pay attention in manipulating voluminous amount of geodata in various forms increasing with high velocity. In addition, dimensionality reduction has been playing a key role in high-dimensional big data sets including spatial data sets which are continuously growing not only in observations but also in features or dimensions. In this paper, predictive analytics on geospatial big data using Principal Component Regression (PCR), traditional Multiple Linear Regression (MLR) model improved with Principal Component Analysis (PCA), is implemented on distributed, parallel big data processing platform. The main objective of the system is to improve the predictive power of MLR model combined with PCA which reduces insignificant and irrelevant variables or dimensions of that model. Moreover, it is contributed to present how data mining and machine learning approaches can be efficiently utilized in predictive geospatial data analytics. For experimentation, OpenStreetMap (OSM) data is applied to develop a one-way road prediction for city Yangon, Myanmar. Experimental results show that hybrid approach of PCA and MLR can be efficiently utilized not only in road prediction using OSM data but also in improvement of traditional MLR model.
A NOVEL AND COST EFFECTIVE APPROACH TO PUBLIC VEHICLE TRACKING SYSTEMijujournal
There are lots of efforts being made by public transport corporations to improve public vehicle occupancy
by requesting the public to use public transport over other modes of transportation. It can be noted that if
the passenger knows with high confidence that the bus is going to come, he/she will definitely wait rather
than opting for other modes of transport. Efficient information can therefore help the users to choose faster
and more easier connections which saves their time. Trends in wireless technology like Global System for
Mobile communication (GSM) and Radio Frequency Identification (RFID) have resulted in easier and
faster communication. This paper presents a vehicle tracking system by integrating both of the above
mentioned technologies. The central server uses geographic information system (GIS) to track vehicles to
display the position information on the electronic map. This paper suggests a new cost-effective way for
tracking a vehicle in public transport domain and compares proposed technique to some of the methods
advised previously for tracking public vehicles.
What is European Location Framework and what is needed to make geospatial reference data to work in Europe based on INSPIRE. Presentation at the INSPIRE conference 2011.
Surveying for Civil engineering is a
particular type of surveying known as "land surveying", it is the
detailed study or inspection, as by gathering information through
observations, measurements in the field, questionnaires, or
research of legal instruments, and data analysis in the support of
planning, designing, and establishing of property boundaries.
Land surveying can include associated services such as mapping
and related data accumulation, construction layout surveys,
precision measurements of length, angle, elevation, area, and
volume, as well as horizontal and vertical control surveys, and
the analysis and utilization of land survey data. Surveyors use
various tools to do their work successfully and accurately, such
as total stations, robotic total stations, GPS receivers, prisms, 3D
scanners, radio communicators, handheld tablets, digital levels,
and surveying software.
Survey data can be directly entered into a GIS from digital
data collection systems on survey instruments. When data is
captured, the user should consider if the data should be captured
with either a relative accuracy or absolute accuracy, since this
could not only influence how information will be interpreted but
also the cost of data captured.
In this paper GIS maps were developed depending on the
field surveying data made for a two traverses. First one has ribs
less than 50m length and the other larger than 50m. Each
traverse is holding five times using five equipments and
instruments: Tape, Level, Digital level, Digital theodolite and
Laser tape. Also those maps were drawn by using both of ACAD
and ArcView softwares. Then a detail surveying map was
produced. The precision was computed for both traverses in each
method. Its value is range from 1/140 to 1/10000.
Topographic Information System as a Tool for Environmental Management, a Case...iosrjce
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) multidisciplinary peer-reviewed Journal with reputable academics and experts as board member. IOSR-JESTFT is designed for the prompt publication of peer-reviewed articles in all areas of subject. The journal articles will be accessed freely online.
Similar to Beyond good enough? Spatial Data Quality and OpenStreetMap data (20)
Devising a citizen science monitoring programme for tree regeneration the upl...Muki Haklay
Presentation by Chris Andrews from a participatory virtual workshop June 2020 on citizen science in the Cairngorms national park. Aims of presentation: To provide a background information as to what's going on ecologically in the uplands; To explore why some upland habitats might be changing; Example of what could be done through a case study at the ECN Cairngorm long-term monitoring site; Provide a framework in which to think about what variables might be useful to citizen science project on monitoring regeneration.
The value of citizen science for environmental monitoring in ScotlandMuki Haklay
Presentation by Nadia Dewhurst Richman from a participatory virtual workshop in June 2020. This presentation gives an overview of the benefits of citizen science using examples of existing projects in Scotland, along with an introduction to Scotland’s Environment Web.
citizen science - a brief introduction Muki Haklay
Presentation by Muki Haklay in a participatory virtual workshop June 2020. The presentation provided an overview of the types of activities that fall under the umbrella term citizen science - from activities that people do at home using the computers and the internet (volunteer computing or volunteer thinking) to ecological monitoring of landscape change in an opportunistic way. The presentation also pointed out to the multiple goals of citizen science projects - from engaging people in environmental issues, to providing opportunities to disadvantaged groups in society. The level of participation across projects was also highlighted, indicating that as requirements and knowledge increase, the number of people that are currently engaged in citizen science project decreases.
Citizen Science as a tool to support land management in the Cairngorms Nation...Muki Haklay
Presentation by Jan Dick from the participatory virtual workshop in June 2020. Part of UKRI project to explore the suitability of citizen science for Long-Term Scoio-Ecological Research (LTSER)
Slides from Susanne Hecker and Muki Haklay talk in an ECSA webinar about the ECSA Characteristics of Citizen science https://zenodo.org/communities/citscicharacteristics/ - covering the methodology and the main features of the document. The webinar is available here https://zenodo.org/record/3859970
Citizen Science in Open Science context: measuring & understanding impacts of...Muki Haklay
Within the emerging European agenda for open science, deeper public engagement with science, through citizen science, is now part and parcel of Horizon Europe. Yet, there are many issues that need to be understood – the uneven landscape of citizen science across the European Research Area, scientific disciplines, and institutions; the balancing of multiple goals that citizen science projects enact between raising awareness to scientific issues to producing data and analysis that can lead to top discoveries; measuring and assessing the outcomes and outputs of projects; and consideration about the data, analysis, and outputs. The talk will provide a short introduction to citizen science and modes of engagement in it, introduce the “Doing It Together Science” (DITOs) escalator model; and review some of the emerging policy responses to citizen science across the world.
Extreme Citizen Science technologies: attempting to embed values in codeMuki Haklay
Extreme Citizen Science (ExCiteS) is a situated, bottom-up practice that takes into account local needs, practices and culture and works with broad networks of people to design and build new devices and knowledge creation processes that can transform the world. The ExCiteS group at UCL was set up to support the implementation of this concept through the development of theories, methodologies, processes, and technologies that allow any community, regardless of (technical) literacy, to engage in citizen science projects that produce results that are meaningful and useful for them. Stemming from theoretical foundations in participatory action research and public participation geographic information systems (PPGIS), our technologies are designed to carry values with them. Once we visit these values, we can see how they turn into code, and ask how successful these efforts are, using cases in the Amazon, Congo-basin, Namibia, UK, and Malta.
The role of learning in community science and citizen scienceMuki Haklay
This are slides from the talk on 12 Oct, Joint workshop of the Teaching and Learning and Citizen Science Special Interest Groups of the British Ecological Society, which was held on 12th October 2018 at the University of Reading. The talk explores links between learning and citizen science - contributory and collegial in particular. This is an improved version of the Citizen Inquiry slides
The persistent environmental digital divide(s) -RGS-IBG 2018Muki Haklay
Over 25 years ago, as the web was emerging as a medium for distributing public information, it was promoted as a tool for increased democratisation. From the age of dial-up modem and PCs to the use of mobile phones and smartphones, concerns about digital divides and how they impact the ability of local participation in environmental decision making never resolved. These digital divides are creating a tapestry of marginalisation through different devices, skills, and communication potentials, and it is valuable to reflect on their dimensions – both technical and social, and consider how we can consider them in a systematic way. The talk will attempt to reflect on technological and social changes and the attempts to address them.
Pecha Kucha session: multi country science programs Ecsite 2018Muki Haklay
Doing It Together Science (DITOs) is a 3-year project, funded by the EU Horizon 2020 programme, that is aimed to increase awareness of and participation in citizen science across Europe and beyond. It is focused on communication, coordination, and support of citizen science activities. Therefore, the project promotes the sharing of best practices among existing networks for a greater public and policy engagement with citizen science through a wide range of events and activities.
Open Science and Citizen Science - researcher, participants, and institutiona...Muki Haklay
Presentation from the OECD workshop on 9th April 2018, GSF-NESTI Workshop on "Reconciling Scientific Excellence and Open Science" asked the question "What do we want out of science and how can we incentivise and monitor these outputs?". The talk covers the personal experience as a researcher, the experience of participants in citizen science projects, and the institutional aspects.
Introduction to Citizen Science and Scientific Crowdsourcing - Data Quality s...Muki Haklay
This is part of the course "introduction to citizen science and scientific crowdsourcing", which you can find at https://extendstore.ucl.ac.uk/product?catalog=UCLXICSSCJan17 . The lecture is dedicated to data management in citizen science, and this part is focusing on data quality
The role of learning in citizen scienceMuki Haklay
This is a presentation from the citizen science impact event at the Open University http://www.open.ac.uk/blogs/opentel/citizen-science-impact-event-at-the-open-university/
Citizen science offer different levels of engagement to participants, which have been captured in typologies of the field (contributory, collaborative, co-created, collegial / crowdsourcing, distributed intelligence, participatory science, extreme citizen science). These typologies do no explicitly examine learning. At the same time, projects and activities striving to fulfil multiple goals (excellent scientific output, satisfying engagement, good recruitment, learning …). Within ythe range of citizen science project, we can consider different aspects of learning that are occurring in them, Projects and use examples from a range of project, and raise some aspects that can help those who are designing co-created projects.
The Willing Volunteer – Incorporating Voluntary Data into National DatabasesMuki Haklay
At present few mapping databases contain crowd sourced or voluntary data. Consider how, in the future, this will be a valuable source of data for national geospatial, cadastral and mapping agencies
Examining the values that are embedded in the processes and technologies of p...Muki Haklay
A persistent question about participatory methodologies that rely on technologies, such as public participation geographic information systems (PPGIS), is how to integrate values, such as inclusiveness of all the people that are impacted by a decision, or identifying options that are popular by the majority but acceptable to the minority, within technologically focused projects. Moreover, technologies do not operate by themselves – they are embedded in organizational, political, and social processes that set how they are used, who can use them, and in what context. Therefore, we should explore where the values reside?
Two factors obscure our view: The misleading conceptualisation that technologies are value free, and can be used for good or for bad – which put all the weight on the process, and ignores the way in which any technology allow only certain actions to be taken. Another popular view of technology conceptualisation is to emphasise their advantages (upside) and ignore their limitations. If we move beyond these, and other “common sense” views of technologies, we can notice how process and technology intertwine.
We can therefore look at the way the process/technology reinforce and limit each other, and the way that the values are integrated and influence them. With this analysis, we can also consider how technological development can explicitly include considerations of values, and be philosophically, politically, and social-theory informed. We need to consider the roles, skills, and knowledge of the people that are involved in each part of the process – from community facilitation to software development.
The paper will draw on the experience of developing participatory geographic information technologies over the past 20 years, and will suggest future directions for values-based participatory technology development.
Into the Night - Technology for citizen scienceMuki Haklay
Current citizen science seems effortless...just download an app and start using it. However, there are many technical aspects that are necessary to make a citizen science project work. In this session, we will provide an overview of all the technical elements that are required - from the process of designing an app., to designing and managing a back-end system, to testing the system end to end before deployment. Participants will have the opportunity to engage in a short exercise to consider the design of an app for a citizen science project that addresses light pollution.
Into the Night - Citizen Science Training day - introduction to citizen scienceMuki Haklay
Setting, running and evaluating - In this session, we will provide a brief overview of the types of citizen science that are relevant in addressing environmental challenges. We will look at classifications of citizen science projects, explore their potential goals, the process of recruitment and retention as well as the need to start project evaluation from an early stage. Participants will have the opportunity to engage in a short exercise to consider how these elements can be used in the design of a citizen science project.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Beyond good enough? Spatial Data Quality and OpenStreetMap data
1. Beyond good enough? Spatial Data Quality and OpenStreetMap data Dr Muki Haklay Department of Civil, Environmental and Geomatic Engineering, UCL m.haklay@ucl.ac.uk With contributions from AamerAther (M.Eng 2009) and NaureenZulfiqar (M.Eng 2008) Ordnance Survey data was kindly provided by the Ordnance Survey research unit. OSM data was provided by GeoFabrik & CloudMade
2. Outline Understanding quality of geographical information Evaluation of OSM with Meridian data set Evaluation of OSM with MasterMap What does it all means?
3. The quality issue How good it the data? First question: good for what? Subjective quality – fitness for purpose/use Second question: how to measure? Objective quality – but need to evaluate it in light of the first question
4. The quality issue How good it the data? Positional accuracy – the position of features or geographic objects in either two or three dimensions Temporal accuracy – how up to date is the data? Does it presents the existing situation and when will it be updated? Thematic/attribute accuracy – for quantitative attributes (width) and qualitative attributes (geographic names) Completeness – The presence and absence of objects in a dataset at a particular point in time Logical consistency –adherence to the logical rules of the data structure, attribution and relationships
5. The ‘problem’ We know little about the people that collect it, their skills, knowledge or patterns of data collection Loose coordination and no top-down quality assurance processes – can’t produce good data It is not complete and comprehensive – there are white areas
10. Users Participation inequality – small group of users collect most of the information, lots of users collect very little Little ‘on the ground’ collaboration. Important as this is can be the main source of quality assurance - ‘Given enough eyeballs, all bugs are shallow’ (Raymond, 2001) But does Linus’ law apply to OSM?!?
11. Accuracy and Completeness- Study I Comparing OSM to OS Meridian 2 roads layer Maridian 2 -Motorways, major and minor roads are... Complex junctions are collapsed to single nodes and multi-carriageways to single links... some minor roads and cul-de-sacs less than 200m are not represented... Private roads and tracks are not included... Nodes are derived from 1:1,250-1:2,500 mapping, with 20m filter around centre line generalisation
13. Goodchild and Hunter (1997), Hunter (1999) method Assuming that one dataset is of higher quality Create buffer around the dataset with known width Calculate the percentage of the evaluated dataset that falls within the buffer
16. Positional accuracy On each tile, 100 points sample with evaluation of distance between OSM and Meridian 2 Can see significant variability: from about 3m to over 8m
17. Completeness – bulk method Assumption: as Meridian 2 is generalised, for each completed sq km: Total length(OSM roads)>Total length(Meridian 2 roads) Dividing England to 1km grid squares, and running a comparison for each cell
22. Length comparison For 29.3% of the area of England, OSM is getting nearer completion and as good as Meridian 2 (March 2008). Estimated at %45-50 today. When adding to this attributes, the percentage drops to 24.5% (March 2008). Estimated %35 today. Centres of major cities are well mapped.
26. Comparison II – Ordnance Survey Master Map Data used for comparison: OS MasterMap Integrated Transport Network (ITN) layer ITN consists of road network information The most accurate and up-to-date geographic reference for Great Britain’s road structure Any major real world changes are updated within 6 months Used for numerous applications e.g. Transport management systems, road routing, emergency planning...
36. What does it mean? OSM is better than Meridian 2 in terms of positional accuracy, and less accurate than MasterMap The differences that were found in comparison I are a mix of the positional inaccuracies of both Meridian 2 and OSM. The higher overlap with MasterMap tells us that OSM was the more accurate of the two...
38. What are they paying for? Meridian is officially not complete, clearly not accurate in terms of position, and without clear ‘6 month of major changes update’ rule Hypothesis: When people buy geodata, they pay for the errors, or the notion that the errors are well known and quantified. Are they?
39. Putting a price tag on OSM ? 1 seat of Meridian 2 for England - £1272 OSM is 35% complete (positional and attribute) ... ... But higher positional accuracy than Meridian 2 So maybe £500 per seat? If so, each Sq Km of OSM is worth about 40p or 0.5€ .
41. So should I use OSM? OSM is fit for many purposes to which Meridian 2 is suitable Positional accuracy is satisfactory for many applications. Attribute accuracy is also satisfactory. Completeness in major urban area is satisfactory – and if the work is at a specific location, it is easy to improve and complete the dataset
42. Conclusions OSM quality is beyond good enough, it is a product that can be used for a wide range of activities Better quality proxies, can be developed (for example, by user) Quality procedures should also developed with passive sensing from mobile devices More work is required on Linus’ Law
43. Further reading Haklay, M., 2008, How good is OpenStreetMap information? A comparative study of OpenStreetMap and Ordnance Survey datasets for London and the rest of England, submitted to Environment and Planning B. Haklay, M. And Weber, P., 2008, OpenStreetMap – User Generated Street Map, IEEE Pervasive Computing. Haklay, M., Singleton, A., and Parker, C., 2008, Web mapping 2.0: the Neogeography of the Geoweb, Geography Compass Haklay, M., 2008, Open Knowledge – learning from environmental information, presented at the Open Knowledge Conference (OKCon) 2008, London, 15 March. Haklay, M., 2007, OSM and the public - what barriers need to be crossed?presented at State of the Map conference, Manchester, UK, 14-15 July. To get a copy, write to m.haklay@ucl.ac.uk , or get them on povesham.wordpress.com
Editor's Notes
The Athenian metaphor goes even further. You also need to be a male, healthy, in your 20 or 30 and wealthy in order to participate in the fun.
The higher level dataset to be used was OS MasterMap. The Ordnance Survey’s MasterMap is a database that records every fixed feature of Great Britain larger than a few metres in one continuous digital map – It is a framework on which future OS products will be based The ITN layer is one of four layers, and the layer used for this project. ITN obtained from Edina, OSM for CloudeMadeITN data obtained in GML format, which was then converted to shp file format, and the required OSM downloaded as shp file.
- 25km square grid , based on OS 1:10000 grid tilesThe tiles were chosen to cover a range of London, North, South, East & West, two close and two further out from the centre, so that a good sample was chosen
Requires the use of a reference source (ITN) and a test source (OSM)Here we have an example of an ITN and corresponding OSM road feature.ITN is the higher level dataset, and therefore the ITN road feature is considered to be the actual centreline of the road. A buffer of width x is created around the ITN featureThe proportion of the OSM road that lies that lies within the buffer is then calculatedThis analysis carried out for every A-road, B-road and motorway feature in the datasets
The results are very high, indicating that the positional accuracy of OSM is very good.In particular, the South London tile had an average of 92.62% overlap for A-roads, and North/Central London tile had 81.46% overlap for B-roads.Only one motorway segment (very high)
- Results maps for each of the four test regions- The distribution of results in the histogram is clearly illustrated by the results maps. Anything above 90% overlap in red, between 80-90% in orange, and between 70-80% in yellow.
First diagram:The trend line in the scatter diagram shows a slight positive trend indicating the that as the number of users increase so does the road name attribute completeness This is certainly the case for any grid square constituting more than 25 users, where the road name attribute completeness was no less than 60% with most results between 80-100%. However, the spread of results are very varied for all the grid squares with less than 20 users; in fact removing all results above 20 users would produce no correlation the vast majority of results appear to lie between 60-100% road name attribute completeness, and are therefore all good results. the user analysis research carried by Dr Haklay found 89.5% of the whole of England covered by 3 or less users. Considering my results showed no grid squares as having less than 5 users, it is fair to say that these results are not a true reflection of the majority of England, with all my results being covered by more users than normal This probably explains why the attribute completeness was generally quite highSecond Diagram:There is no positive or negative trend here, and all that the results really shows is that positional accuracy is very high regardless of the number of users. This is probably due to a number of reasons. Firstly, it only takes a single user to achieve very high positional accuracy depending on the GPS equipment used and the nature of data collection. Secondly, unlikely that users in same regions set out to measure features already mapped in OSM