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A to Z of 1Spatial Solutions:
Address Data Management
In certain sectors, such as Emergency Services many facilities that are important in emergency responses do not have addresses that conform to postal standards. There are no standards or dictionary terms to support gazetteer extensions. This means that such address-based databases are error prone and their maintenance is time consuming. Even worse the data cannot be exchanged successfully with other emergency services and the response may be directed to the wrong location. Using the data integration environment provided by 1Spatial organisations can tackle incomplete or inaccurate data. As an example, if you are working in a Police Force you may be struggling to publish accurate crime statistics that make use of location, we can help. If you are looking for data quality improvements in matching address data with mapping data then read on.
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Basic Land and Property Units (BLPUs)
Municipalities worldwide seek to make their data available through portals and other interoperable services. Since they are managing data that change rapidly, a framework for linking that data to the real world (where the change actually takes place) is required. This framework in Great Britain is based on creating an entity known as a Basic Land and Property Unit (BLPU). This is created from detailed topographic objects from the Ordnance Survey data sets. This is a time consuming process and has to be repeated quarterly as the changes from the Ordnance Survey arrive. 1Spatial provides an automated process, which has the benefit of reducing the time to create and maintain BLPUs. 90% of BLPU polygons can be created automatically, resulting in significant time and cost savings for Local Government organisations.
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Cartographic Generalisation
Cartographic generalisation has been a major research topic for over 20 years in Europe. The information normally caught by the expert eye of a cartographer or surveyor is captured as a set of rules, which are the basis of deriving smaller scale maps or geodata products from more detailed existing source data. Cartographic generalisation is the stage that deals with correct symbolisation, placement or exaggeration of the cartographic objects and the labels on the map. Introducing model generalisation as a pre-process results in simplification as well as harmonisation of the data, i.e. it ensures data quality and uniformity.
Generalisation allows products to be automatically produced from a single database and massively reduces the amount of effort that would be required manually. It allows organisations to maintain a single master dataset at a large scale and to propagate edits through all smaller scale data products.
1Spatial has been a market leader in generalisation technologies for many years and is further developing its generalisation capabilities to meet the emerging requirements for deriving geodata at multiple scales from master reference data.
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Customised Software Development
This is an area of activity where 1Spatial has delivered thousands of projects across the world. The use of Agile software development techniques, in conjunction with the Rational Unified Process project lifecycle methodology guide the extensive software analysis, design and quality control activities at 1Spatial. All our processes and procedures are certified as ISO 9001:2008. We offer invaluable experience and expertise to save you time and money, as well as help reduce your risk in large projects.
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Field Survey Data Capture
In our experience data models are not complex enough or well enough defined to support what the data capture users require. As a result field data applications have rudimentary error checking. This means that very often the data validation or quality checking comes much later on in the data management process. This causes expensive reworking, long after the operator has left the scene. We advocate data validation taking place in real-time at the point of capture or data source. Our data provider customers ranging from Ireland to Malaysia have used this solution. Tackling data model complexity and also efficient memory management are two ways we address optimised field data capture.
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Incident Responses
Many of our solutions support the need to aggregate or integrate geospatial data from many different sources and ensure or maintain the integrity of master data or base reference mapping. This is particularly true with incident responses since timing is essential to tackle incidents in a timely fashion. 1Spatial offers a data integration platform that can help you to automatically address some of these data management challenges and respond effectively.
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INSPIRE Training
As a European Directive, INSPIRE (the Infrastructure for Spatial Information in Europe) raises a series of political, organisational and technological challenges. This training programme has been devised in a modular format to help address the different aspects of INSPIRE and outline how your organisation can actually benefit from working on INSPIRE. The training caters for different job roles in stakeholder organisations, such as Legally Mandated Organisations (LMOs) and Spatial Data Interest Communities (SDICs).
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Land Registration
Based on 1Spatial’s work to build a digital land registration system in Ireland, 1Spatial has experience working on process evaluation and review, integrating and coordinating systems and data capture teams, as well as systems and process design for geospatial data workflows. This involves deriving business rules to document land ownership laws and checking conformance of the data against the rules, as well as formalising and managing business rules with users. Other international experience is based on supporting large geospatial databases.
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Local Plans Online
Geospatial data underpins the planning process in terms of being able to access, visualise and analyse information relating to planning activities. 1Spatial has worked in this area for many years with a number of customers delivering their planning information to the general public. Using geospatial data in this way, citizens can find out information relevant planning activities in their area, including development plans and activities that may impact them. 1Spatial has delivered solutions to help local government in this area.
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Model Generalisation
The difficult task of deriving smaller scale maps or geodata products from more detailed existing source is known as generalisation. Producing digital data at different scales is time consuming. Using computer software algorithms releases personnel to work on higher value tasks and increases the frequency of product update releases. 1Spatial has been involved in one of the largest European generalisation projects in the last 20 years working with the AdV, the working committee that coordinates the official surveying for the 16 federal state survey offices in Germany. As a result of that work and other projects with organisations, such as KMS Denmark, IGN Belgium, IGN France and Ordnance Survey Great Britain, we have developed solutions to automatically generate data from one scale to another while maintaining data integrity. The scale change is performed by model generalisation and is done completely at the data model level without taking into account map display or representation.
A part of the project at AdV and a common generalisation requirement is to make time and cost savings as well as enable data owners to release more frequent updates of their products, often also to be achieved by automating the process. The process of updating their products is also done from a single master dataset. Given the wide range of algorithms available in the 1Spatial generalisation suite, other organisations have used this same environment for data volume reduction, for example shape point reduction for digital mapping data to enable it to fit onto small devices like personal digital assistants (PDAs).
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Oracle Spatial Services
1Spatial is one of a small number of Oracle Certified partners in the geospatial sector. Having worked with Oracle Spatial technologies for almost 10 years, 1Spatial offers Database Administration skills coupled with Oracle Spatial consultancy. We have worked with customers around the world to help them with data simplification, reengineering and migration projects and programmes based on the Oracle technology infrastructure. We have also developed our own product suite based on Oracle technologies, so we have extensive experience of dealing with geospatial data management issues and a large pool of staff skilled in working with Oracle. As well as working with Oracle Spatial technologies, 1Spatial is also deploying solutions based on Oracle Enterprise Applications, such as BPEL and Oracle Workflow Manager.
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Photogrammetric Integration
Photogrammetric integration solutions from 1Spatial enable data to be captured and directly submitted into the repository dataset, avoiding the data loss and degradation that is typically associated with traditional file transfer techniques. This kind of capture and submission also means that all attributes and object-to-object relationships are immediately populated at the time of analysis, which immediately highlights any operator errors and prevents invalid data being captured. We offer a range of products and services for photogrammetric integration using our proprietary geospatial processing technology.
Any organisation that has to capture and update mapping or geospatial datasets, such as national mapping agencies or commercial data providers can benefit from this solution.
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Spatial Data Auditing and Cleaning
Data audits can help you understand and measure the quality of your data assets; today's businesses have large investments in digital geographic information. The physical environment changes are rapidly impacting the accuracy of the data amongst other things. 1Spatial offers tools and services to undertake data auditing and data cleaning as iterative processes. Our consultants will meet with you to discuss your requirements and suggest alternative methodologies for tackling your particular situation. As an example, data integration or data migration projects - pulling together data from multiple sources or providing solutions for managing the change only updates of your base reference mapping. Establishing the state of the data from the outset and providing a quantitative assessment of data quality will help you estimate the scale of projects and whether or not it is feasible in the allocated time frame and available budget.
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Spatial Data Conformance Checking
When creating a new product or updating an existing product or system that relies on geospatial data, organisations need to be able to validate quickly and effectively the integrity of the data being used. 1Spatial offers this facility both as licensed software or as a service. The benefit of these validation services is, that organisations can base decisions on business rules relating to the data. Our approach is to store the business rules, for example data specifications in Excel spreadsheets and check the level of conformance of the data against the business rules. This will provide a quantitative assessment of data conformance and can be fed into enterprise dashboards or data monitoring programme to continuously assess, fix and improve geospatial data.
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