Data Editing Statistics and Checks
ITS Toolbox QS contains functions for systematically checking the topology, sector-specific rules and logics in Smallworld GIS databases. It is possible to apply automated and preconfigured error removals. Another field of application is object statistics which is often used to bill service providers for their editing work.
- Attribute and geometry data is checked
- Automated and preconfigured error removals
- Protocols and checks for completed work
- Object statistics are easily created
- Results can be exported to Office products
ITS ToLo Checker
The topology and logic checker of the ITS Informationstechnik Service GmbH detects and removes attribute as well as geometry errors within the geographic database. Three different types of checks are conducted:
- Topology check
- Utility sector check
- Logic check
In the first check, connections, i.e. topologies are validated. All objects that do not have a connection to another object are displayed in a list. This type of validation check is relatively quick and precise compared to traditional topology quality checks in Smallworld GIS. Identified objects with errors are displayed in a list and can be edited. Geometries are also displayed and can be highlighted and selected.
Utility Sector Check
In the second check, sector-specific data model validations are scrutinised. All database objects that lie within the defined region are evaluated. If an object with an error is identified, it is added to the error list. An error description is provided by the sector-specific database and is saved in a list. This helps users to correct data at a later stage. All objects with errors are displayed in the Smallworld Explorer.
Finally, a logic check is carried out. Features to be included in the logic check are specified in a configuration file. This file is read and processed by the ToLo-Checker. A detailed documentation of these configuration options is available for users who want to modify their own checks.
Checks for Editing Rules
The logic file can also check editing rules. This means that editing work done by external service providers can be inspected. Inspection results and responsible editors are displayed in a list. These results can also be displayed in the Smallworld Explorer.
Another advantage of ITS ToLo Checker is the automatic error correction. This operation is performed if this feature is added to the logic file.
ITS Profi Statistics
Statistics are often required for billing external service providers who edit data in Smallworld GIS. The product ITS Profi Statistics with its easy configuration offers an ideal tool to create statistics quickly and professionally.
Object statistics can be created in the sub-menu. The distribution of each feature class and its enumerations are shown in a list.
Data Editing Statistics
A statistic that can be used for billing is created via the sub-menu “summary”. In this tab, it is possible to select an attribute field for one feature class within one database and to calculate the sum. Afterwards, it is possible to specify the editing time frame as well as the editor. This tool offers easy-to-use evaluations such as determining the exact length of water pipelines and the number of grid connections that were documented in the first quarter of the year by a specific editor of a specific company. These analyses and statistics can also be saved.
By using aerial intersections, it is possible to create aerial summaries of the entire Samllworld database. Areas can be saved as objects and are classified into three different categories.
Users are able to geographically limit aerial statistics to gas and water networks when using the ITS module for aerial statisitcs. After specifying an area using ledger lines, users can choose a statistic. Predefined queries are available for gas and water. Furthermore, data can be exported in various formats.
Results are displayed in the sub-menu “results”. They are depicted in lists. This menu can also be used to export data in ASCII or EXCEL files. In the drop-down menu of the field “report type”, users can specify the analysis time frame. This can be filtered for years, months, weeks or days. The legibility of listed results can be improved by activating the toggle switch “invert table” to swap columns and rows. This is helpful for results entailing many different feature classes and attributes.