{"id":2554,"date":"2021-06-02T09:23:22","date_gmt":"2021-06-02T07:23:22","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=2554"},"modified":"2021-05-31T23:30:26","modified_gmt":"2021-05-31T21:30:26","slug":"new-option-in-the-menu-for-geojson-features-export","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-option-in-the-menu-for-geojson-features-export\/","title":{"rendered":"New option in the menu for geojson features export"},"content":{"rendered":"<p>In the main menu option<\/p>\n<p>Generate NGSI examples -&gt; <a href=\"https:\/\/smartdatamodels.org\/index.php\/generate-a-geojson-feature-format-payload-based-on-a-smart-data-model\/\">Geojson features format<\/a><\/p>\n<p>This option allows you to generate random payloads compliant with a data model in <a href=\"https:\/\/geojson.org\">Geojson features format<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the main menu option Generate NGSI examples -&gt; Geojson features format This option allows you to generate random payloads compliant with a data model in Geojson features format. <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-option-in-the-menu-for-geojson-features-export\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[105,84,107,109,113,115,119,117,88,143,111,125,182],"tags":[],"class_list":["post-2554","post","type-post","status-publish","format-standard","hentry","category-cross-sector","category-governance","category-smart-cities","category-smart-energy-domain","category-smart-environment","category-smart-manufacturing","category-smart-robotics","category-smart-water","category-smart-sensoring","category-smartaeronautics","category-smart-agrifood","category-smartdestinations","category-smarthealth"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":2594,"url":"https:\/\/smartdatamodels.org\/index.php\/geojson-features-format-examples-available-at-examples-directory\/","url_meta":{"origin":2554,"position":0},"title":"Geojson features format examples available at examples directory","author":"maestro","date":"07\/06\/2021","format":false,"excerpt":"Those data models containing examples with a geoproperty, now there also include another file named: example-geojsonfeature.json with this format. So not all the data models include this example, which is generated automatically (so there is not a need to be contributed). See an example: \u00a0 \u00a0","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2522,"url":"https:\/\/smartdatamodels.org\/index.php\/new-export-format-for-data-models\/","url_meta":{"origin":2554,"position":1},"title":"New export format for data models","author":"maestro","date":"01\/06\/2021","format":false,"excerpt":"The README of the different data models now contains a new option, to export the payloads as a geojson feature. It is a new line at the README of every data model. It provides actual results when the data model has Geoproperties. Otherwise, a warning message is replied to the\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/05\/geojsonfeature.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/05\/geojsonfeature.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/05\/geojsonfeature.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/05\/geojsonfeature.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":9334,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-the-python-package-pysmartdatamodels-0-6-0\/","url_meta":{"origin":2554,"position":2},"title":"New Version of the Python Package pysmartdatamodels 0.6.0","author":"maestro","date":"01\/08\/2023","format":false,"excerpt":"There is a new version of the python package for pysmartdatamodels 0.6.0. This python package includes all the data models and several functions to use them in your developments. Changelog: - Four new functions New functions to generate fake example files given the schema payload of the data model in\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"pysmartdatamodels 0.6.0","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/08\/Screenshot-2023-08-01-at-09.34.53-300x162.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/08\/Screenshot-2023-08-01-at-09.34.53-300x162.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/08\/Screenshot-2023-08-01-at-09.34.53-300x162.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1715,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-context-jsonld-2\/","url_meta":{"origin":2554,"position":3},"title":"Updated context.jsonld","author":"maestro","date":"19\/02\/2021","format":false,"excerpt":"The context.jsonld for smart data models has been updated to meet json ld requirements. Now they are implementing geojson requirements. It affects the terms of bbox and coordinates. It could impact those elements having a geoproperty (most of the data models).","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2590,"url":"https:\/\/smartdatamodels.org\/index.php\/geoproperties-documented\/","url_meta":{"origin":2554,"position":4},"title":"Geoproperties documented","author":"maestro","date":"04\/06\/2021","format":false,"excerpt":"Geoproperties were formerly not documented because it was not possible to include the description into the definition of the data model. Previously, the definition of Geojson property was retrieved from the original source, which prevents the documentation to be added. No its has been cloned into the common-schema.json, and the\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2205,"url":"https:\/\/smartdatamodels.org\/index.php\/new-service-generate-a-ngsi-ld-payload-keyvalues-format-compliant-with-a-smart-data-model\/","url_meta":{"origin":2554,"position":5},"title":"New service: Generate a NGSI-LD payload keyvalues format compliant with a Smart Data Model","author":"maestro","date":"28\/04\/2021","format":false,"excerpt":"There is a new service for users, which is the ability to generate an example payload compliant with a specific data model in key values format. Previously it was available the normalized format. Options are located in the main menu (Generate NGSI examples) NGSI-LD normalized format NGSI-LD keyvalues format","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/NGSI_examples-150x150.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=2554"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2554\/revisions"}],"predecessor-version":[{"id":2555,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2554\/revisions\/2555"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=2554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=2554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=2554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}