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The Land Book is organized around world-wide country-based datasets and indicators.
Country portfolios
A short video tutorial to introduce our new country pages.
[video:https://youtu.be/3xRe5JAbli8]
Data Model
Introduction
| Prefix | Namespace |
| dct | http://purl.org/dc/terms/ |
| dc | http://purl.org/dc/terms/ |
| foaf | http://xmlns.com/foaf/0.1/ |
| rdfs | http://www.w3.org/2000/01/rdf-schema# |
| skos | http://www.w3.org/2004/02/skos/core# |
| owl | http://www.w3.org/2002/07/owl# |
| rdf | http://www.w3.org/1999/02/22-rdf-syntax-ns# |
| bibo | http://purl.org/ontology/bibo/ |
| edm | http://www.europeana.eu/schemas/edm/ |
| prov | http://www.w3.org/ns/prov# |
| schema | http://schema.org/ |
| cex | http://purl.org/weso/computex/ontology# |
Dataset
A dataset is a collection of data, published or curated by a single agent (source), and available for access or download in one or more formats (definition from DCAT).
The fields of a dataset are:
- Label: Label of the dataset.
- Description: Description of the dataset.
- ID: Internal ID of the dataset.
- Organization: Organization that publish the dataset.
- Geographical focus: Geographical regions (i.e. countries) related to the dataset.
- Related Themes: Themes related to the dataset.
- Related LandVoc Concepts: LandVoc concepts related to the dataset.
RDF types: skos:Concept, qb:DataSet, dcat:Dataset
| Properties | RDF predicates | Predicate type | Linked type of resource | Scheme of concept |
| Label | skos:prefLabel, rdfs:label | literal | ||
| Description | skos:definition | literal | ||
| ID | skos:notation | literal | ||
| Organization | dct:publisher | resource | CT: Organization | |
| Geographical focus | dct:spatial | resource | skos:Concept, schema:Place, dct:Location | Taxonomy: Regions |
| Themes | dct:subject, schema:about | resource | skos:Concept | Taxonomy: Themes |
| Related concepts (LandVoc) | dct:subject, schema:about | resource | skos:Concept | Taxonomy: LandVoc concepts |
Indicators
A statistical indicator is a data element that represents statistical data for a specified time, place, and other characteristics (definition from OECD). Currently, the place is limited to the country level.
The fields of an indicator are:
- Label: Label of the indicator.
- Description: Description of the indicator.
- Dataset: Dataset with data of this indicator
- ID: Internal ID of the indicator.
- Min: Minimun possible value (integer) of the indicator.
- Max: Maximun possible value (integer) of the indicator.
- Measurement unit: Measurement unit, like % or hectares, of the indicator.
- has Coded Value: The values for this indicator is taken from some controlled term list (could be characters, colors, strings, numbers...) Read more
- High / Low: High means it is better to have a high value, low means the best value is the lowest one (like in rankings).
- Geographical focus: Geographical regions (i.e. countries) related to the indicator.
- Related Themes: Themes related to the indicator.
- Related LandVoc Concepts: LandVoc concepts related to the indicator.
RDF types: skos:Concept, cex:Indicator
| Properties | RDF predicates | Predicate type | Linked type of resource | Scheme of concept |
| Label | skos:prefLabel, rdfs:label | literal | ||
| Description | skos:definition | literal | ||
| ID | skos:notation | literal | ||
| Geographical focus | dct:spatial | resource | skos:Concept, schema:Place, dct:Location | Taxonomy: Regions |
| Themes | dct:subject, schema:about | resource | skos:Concept | Taxonomy: Themes |
| Related concepts (LandVoc) | dct:subject, schema:about | resource | skos:Concept | Taxonomy: LandVoc concepts |
Observations
An Observation represent a single indicator value for a given year and country
We consider three main dimensions for each observation:
- Area: A geographic area (a country or a region)
- Time: The time that is referred by that observation (usually a year or time interval)
- Indicator: The reference indicator
An observation has a value (could be numeric or not)
Previous documentation
This is the old documentation, that is is going to be updated soon http://landportal.github.io/landbook-doc/data/
Access to the data
All our data are made accessible in LOD and we provide a SPARQL endpoint to query them.
Your can query our endpoint at: http://landportal.info/sparql
The SPARQL queries that have been used to retrieve the stats data in the country pages are available on gitHub.
Before import the data in the Land Portal Triple Store, the data comes from a variety of datasets. Some of them are available on landbook-importers github repository.
Visualizations
You can use our visualization library: View COuntry DAta (js-view-coda), which is available on GitHub
https://github.com/landportal/js-view-coda/
All the visualizations you saw on the Land Book pages are using this library.
Share it, get in touch. Questions? Contact us!
Are you are using our data for your project? Share the love with us! If you want, we can even broadcast your audience and share it with people who are intereset in the same land-related issues as you.
Don't hesitate to conctact the Land Portal team if you have any question or suggestion.