gavleborg

Tables

• Comprehensive Data Collection on Geometric and Area PropertiesTSV

  The table originates from 'Lantmäteriet' (The Land Survey of Sweden) website in Sweden. It is a meticulously organised collection of geographical data, arranged into rows and columns to provide detailed mapping information. Each row in the table is distinctively identified by a unique combination of extraction date and row number, indicating when the data was sourced and its position in the extraction sequence. This ensures accuracy and traceability of the data. The table includes geographic data transformed from shapefile format, which is a standard for storing geographical features and locations. This geographic information could take the form of points, lines, or polygons (areas). The table also includes additional columns that provide more specific details about the geographic data...

• Geographical Data Collection with Object Identifiers, Area Measurements, and Geometrical AttributesTSV

  The table under discussion is a part of a dataset collection and it provides a wealth of information that can be of immense interest to data analysts. It originates from 'Lantmäteriet' (The Land Survey), a website based in Sweden. The table is unique as it contains a blend of both temporal and geographic data. It provides information about the date when the data was extracted along with a unique row number for each extraction. This combination allows for each row to be uniquely identified, making it easy to track changes over time. One of the key features of this table is its geographical data, which was originally in the shapefile format. Shapefile is a popular format for storing geographic features, including points, lines, and polygons. However, in this table, the geographic data...

• Geospatial Characteristics and Metrics of Land ParcelsTSV

  The table in question originates from the 'Lantmäteriet' website, located in Sweden. This table forms part of a larger dataset collection. It provides a wide range of data in a structured format, organized into multiple rows and columns. The specifics of each row are uniquely identified by a combination of two key components: the date when the data was extracted and the row number corresponding to that extraction date. Both these columns contribute to the uniqueness of each row. The table holds geographic information, initially in the shapefile format, a common, straightforward format for storing geometric location and attribute information of geographic features. This information could be represented by points, lines, or polygons (areas). However, in this dataset, the geographic...

• Geospatial Characteristics and Quantitative Data Collection from SwedenTSV

  The table is a part of a larger dataset and contains a variety of information, all sourced from the Swedish website, Lantmäteriet. The data within this table is organized into several columns, each containing unique information. Two key columns are responsible for identifying each row of data, specifically the date the data was extracted and the row number from the original data source. This ensures that each row is uniquely identifiable. In addition, the table contains geographic information derived from geographic features which have been transformed from the shapefile format. These can be represented by points, lines, or polygons (areas). The data in this table can be put to a variety of uses in data analytics. For instance, the geographic information can be used in spatial...

• Geospatial Data Analysis and Mapping CollectionTSV

  The table under consideration is a detailed compilation of geographic features, obtained from the Swedish website, Lantmäteriet. It carries a wealth of information about various geographic attributes, including unique identifiers, area measurements, remarks, and several aspects of geographic geometry. The geometry data was initially in shapefile format - a standard for simple, non-topological geographic features - but has been processed into its final form in this dataset. Two special features of the table are the extraction date and row number. The extraction date tells us when each row of data was gathered from its source, while the row number indicates its position in the extracted data. These two columns work together to uniquely identify each row in the table. This table, with its...

• Geospatial Data Analysis and Object Details from Swedish National Land SurveyTSV

  The table is a rich collection of geographic data, meticulously organized into an informative structure. It is derived from the dataset found on the Lantmäteriet (The Swedish Land Survey) website in Sweden. Each row in the table is uniquely identified by a combination of two significant factors: the date when the data was extracted, and the row number on the extraction date. This makes each entry both unique and traceable back to its source extraction point. Moreover, the table contains geographic data, transformed from the shapefile format, which is a popular format for geospatial vector data. This geographic data can represent features as points, lines, or polygons. This table can be a valuable asset in various data analytics applications. For example, it can be used to analyze land...

• Geospatial Data on Area and Object Identification from a Swedish SourceTSV

  The table originates from the 'Lantmäteriet' website, based in Sweden. It carries a wealth of geographic and attribute information, transformed from a shapefile format, which is a common format for geographic data storage. It contains various columns representing different types of data, including object identification, specific codes, area measurements, remarks, shape length and area, and different components of geographic data, among others. Two special columns in the table are dedicated to data extraction details, providing the specific date of extraction and the row number, which together uniquely identify each row of data. This table offers a myriad of possibilities for data analytics applications. For instance, the data can be used to analyze geographic feature changes over time...

• Geospatial Features and Attributes Data Table from Swedish DatabaseTSV

  The table in question is a collection of related data sourced from Lantmäteriet (The Land Survey) in Sweden. It's a part of a larger dataset collection and includes a diverse array of columns that capture various aspects of the data set. Two special columns in the table are dedicated to keeping track of the date of data extraction and the row number from the source data, respectively. This ensures that each row is uniquely identified, allowing for precise tracking and referencing. Furthermore, the table includes geographic information that has been transformed from the shapefile format. The shapefile is a popular geospatial vector data format for geographic information system (GIS) software, and its inclusion in the table adds a geographical dimension to the data, making it ideal for...

• Gävleborg Collection: Detailed Geographical Data TableTSV

  The table originates from the 'Gävleborg' data collection and is a rich source of geographically related information. Sourced from the website of 'Lantmäteriet' (The Swedish National Land Survey) in Sweden, the table contains a variety of columns, each providing unique data points. A key aspect of this table is the presence of geographical data which has been transformed from the shapefile format. This includes information about the geometric location and attributes of geographic features, which can be represented by points, lines, or polygons. This information is found in various columns in the table, providing a comprehensive geographical data set. Additionally, the table has two special columns that contain the date of data extraction and the row number from the original data source...

• History of Version Changes in Geospatial Data Attributes: A Swedish Dataset CollectionTSV

  The table is a historical record sourced from the 'Lantmäteriet' website in Sweden. It is part of a larger dataset that tracks changes over time. It includes unique identifiers for each row, which are determined by a combination of the extraction date and row number from the original data source. This table also includes start and end dates for each row's version, allowing for the tracking of changes over time. If the end date is not present, it signifies that the version is the most recent one. The table also contains geographic data that has been transformed from shapefile format, a common format for geospatial vector data. This allows for the representation of geographical features such as points, lines, and polygons. Potential uses for this table in data analytics could include...

• Land and Geographic Information Data CollectionTSV

  The table is a structured collection of related spatial data, meticulously derived from 'Lantmäteriet' (The Land Survey), Sweden. The table is part of a larger dataset collection. It contains a variety of columns that hold specific, meaningful data. Two special columns hold the date of data extraction and the row number from the source data, which together form a unique identifier for each row. The geographic data, originally in shapefile format, has been transformed into its final format in this table. Shapefile is a popular geospatial vector data format for geographic information systems software, capable of storing points, lines, or polygons. In terms of data analytics, this table could provide valuable insights. For instance, an urban planner could use the geographic data to study...

• Land Survey Data: Detailed Geographical Features and MetricsTSV

  The table under consideration is a rich collection of geographic data sourced from 'Lantmäteriet' (The Land Survey) in Sweden. It forms a part of a larger dataset and provides detailed information about diverse geographic features, including their location, size, and shape. Two special columns in the table provide the date of data extraction and the row number that uniquely identifies each record, ensuring the accuracy and traceability of the data. The table is particularly valuable due to its transformation of geographic data from the widely-used shapefile format into a final geographic format. This means that it contains in-depth spatial data including the geometric location of geographic features, which can be represented by points, lines, or polygons (areas). This table can be...

• Version History of Base Table Rows in a Dataset CollectionTSV

  The table under discussion is a history table, which encapsulates the version history of its base table rows. This aspect makes it unique as it contains two additional columns that record the start and end date of each row. This feature allows for tracking the evolution of data over time as each row represents a unique version of the data extracted from the source. The start date signifies when the row was extracted from the data source while the end date indicates when a new version of the row was pulled. If the end date is null, it indicates that the version of the row is the most recent. The table also includes geospatial data, which was initially in the shapefile format. Shapefile is a standard format for storing geographical features and attributes. The geospatial information in...

• Version History of Base Table Rows in Gavleborg DatasetTSV

  The 'clc12_67g_sv__history' table is part of the 'gavleborg' dataset collection. This historical table provides a version history of its base table rows, containing two additional columns for recording the start and end dates of each row's extraction from the data source. This provides a unique identifier for each row, based on the combination of extraction date and row number. The table provides an array of data, including geographical information converted from the shapefile format, which could include points, lines, or polygons. This data, when combined with other columns in the table, offers a comprehensive view of each entry's historical data. Notably, if a row's end date is null, it signifies that the row is the most recent version. The data for this table comes from the...

• Version History of Base Table Rows in Gavleborg Dataset CollectionTSV

  The 'History' table is a fascinating compilation of data, sourced from the Swedish website, 'Lantmäteriet'. This table forms a crucial part of a larger dataset collection, playing the key role of preserving the version history of the base table rows. Each row in this table is uniquely identified by a combination of the date of extraction and the row number in the raw data. The table is enriched with timestamps indicating the start and end dates of each row's validity. An interesting feature is that if the end date of a row is null, it signifies that the row is the most recent version. This temporal dimension of the data offers a unique opportunity to track changes over time and understand the evolution of the data. Moreover, the table also stores geographic information, which has been...

• Version History of Base Table Rows in the Gavleborg Dataset CollectionTSV

  The 'clc12_66f_no__history' table is a historical record sourced from the official website of Lantmäteriet (The National Land Survey) in Sweden. It is part of the larger 'gavleborg' dataset collection. As a history table, it maintains the version history of its base table rows, allowing for tracking changes over time. This is achieved through two additional columns that record the date a row was extracted from the source and the date a new version of that row was extracted. Consequently, it provides a unique identifier for each row, based on the extraction date and the row number. The table also contains geographic information, which has been converted from the shapefile format, a common format for storing geographic location and attribute information. Potential applications of this...

• Version History of Base Table Rows with Geographical Elements from a Swedish SourceTSV

  The table under discussion is a history table sourced from the Lantmäteriet website in Sweden. It provides a version history of its base table rows, with each row being uniquely identifiable through a combination of specific date of extraction and row number. The table holds additional columns compared to its base: the date when the row was initially extracted and the date when a fresh version of the row was extracted. When the latter date is null, it indicates that the row is the most recent version. This table also contains geographic data, originally in shapefile format, which has been transformed into the final geographic format. This rich dataset can be instrumental for various data analytics applications. For instance, the temporal aspect of the data can be used to track changes...

• Version History of Geospatial Records in Gavleborg CollectionTSV

  The table in question is a historical record type, sourced from the 'Lantmäteriet' (The Land Survey) website, based in Sweden. It is a component of a larger dataset collection. This table is essentially a record of past versions of its corresponding base table. It includes specific columns for recording the dates of data extraction from the source, as well as the dates of any new versions of the data. The table uniquely identifies each row using a combination of the date of extraction and the row number from the original raw data. If a row is the most current version, the date of the new version will be left blank. This table also contains geographical information, originally in the shapefile format, which is a common format for storing geographical feature data. These features can be...

• Version History Records of Base Table in Gävleborg Dataset CollectionTSV

  The 'clc12_67g_so__history' table is a historical archive, storing the version history of its fundamental dataset. It provides a rich historical context for each row, marking changes over time with two additional columns compared to its base table. These columns track the date of extraction from the data source and indicate when a fresh version of the row was extracted. If the end date is null, it signifies that the row is the most recent version. The table has a unique identifier for each row, which is a combination of the start date and a row number that signifies the order of the row in the raw data pulled from the source. This combination allows for easy tracking of data modifications over time. The dataset is rich in geographical information, originally sourced in a shapefile...

• Version History Table for Area Measurements and Geometric PropertiesTSV

  The table in question is a historical record, which is part of a larger dataset collection. It is sourced from the 'Lantmäteriet' website, based in Sweden. The table holds version history for each of its base table rows, meaning it contains two additional columns compared to its base table to hold timestamps for when a row was extracted and when a new version was added. This feature makes this table unique as it allows for tracking changes over time, offering a timeline of the data evolution. The table includes a unique combination of a start date and row number to distinctly identify every row. It also captures the date a new version of a row was added. If the end date field is empty, it indicates that the current row is the most recent version. One of the notable aspects of this table...

• Version History Table of Base Rows in Gavleborg Dataset CollectionTSV

  The table in question is a historical dataset, sourced from Lantmäteriet (The National Land Survey) in Sweden. This table is part of a broader dataset collection, and it serves as the version history of its base table rows. Unique characteristics of this table include two additional columns compared to its base table, which track the start and end dates of each row. This feature allows users to see when a row was first extracted from the data source, and when a new version of the row was extracted. If the end date column is null, it indicates that the row is the most recent version. Another key aspect of this table is its incorporation of geographic information, transformed from the shapefile format - a common format for storing geometric location and attribute information of geographic...