--- layout: guide title: Cesium map id: cesium toc: true ---
MetacatUI uses CesiumJS to create map visualization sections in Portals. Eventually, Cesium will also be used to optionally replace Google Maps in other parts of MetacatUI (follow progress in GitHub issue #1720). This guide summarizes the models, views, and collections that create and control the Cesium widget and the surrounding UI. This page also includes instructions on how to configure a Cesium Map in a Portal document.
A screenshot of the MapView, which uses the CesiumJS library
## Views, models & collections In the [API Docs]({{site.url}}/docs/), views, models, and collections for the map are categorized under `Views/Maps`, `Models/Maps`, `Collections/Maps`, respectively. Models that contain information about map layers and terrain data are further grouped under `Models/Maps/Assets`. ### Views Generally, the Map views are organized such that the `CesiumWidgetView` could be easily interchanged with some other map widget: The UI views like the `LayerDetailsView`, `ScalebarView`, etc., receive data from and send updates to the Map models independent of the `CesiumWidgetView`. For example, rather than `Cesium` directly updating the longitude and latitude in the `scaleBarView`, it instead updates the `Map` model's `currentPosition` attribute. The `MapView` listens to changes in `Map`'s `currentPosition` and then updates the `ScaleBarView` accordingly. If in the future the `CesiumWidgetView` is replaced with a new map widget, it would simply need to update the `Map.currentPosition` attribute and the `ScaleBarView` would work as it did before.
The views that build the CesiumWidget and the the UI surrounding it. From the MetacatUI Design repo.
### Models & collections All layer and and terrain models are extensions of the more generic `MapAsset` model, which comprises attributes that are common to most of the layer/terrain models. As with the views, models and collections are designed to be as independent from the `Cesium` widget as possible, with the exception of some of the terrain and layer models. #### Cesium asset models The [`Cesium3DTileset`]({{site.url}}/docs/Cesium3DTileset), [`CesiumVectorData`]({{site.url}}/docs/CesiumVectorData), [`CesiumImagery`]({{site.url}}/docs/CesiumImagery), and [`CesiumTerrain`]({{site.url}}/docs/CesiumTerrain) asset models are very closely tied to the `Cesium` architecture. Separating these `Cesium` assets from the `CesiumWidgetView` makes it easier to write new assets in the future, and keeps the `CesiumWidgetView` from becoming too expansive. All three of these Cesium asset models have the common `createCesiumModel()` function, which constructs the appropriate `cesiumModel` for the type, given the `cesiumOptions` set on the model. The `cesiumModel` is then used by the `CesiumWidgetView` to render the data on the map. In addition, the `type` attribute used in each of these asset models directly corresponds to the Cesium constructor function that creates the `cesiumModel`.
The models and collections that control the cesium map. From the MetacatUI Design repo.
## Configuration When a new Map model is created, an object with configuration options can be passed to the model, e.g. `var myMapModel = new Map(MapConfig)`. The `MapConfig` object specifies the source of layer and terrain data to show on the map (and properties of these assets), whether UI elements like the toolbar and scalebar are rendered, and the location the map should display initially. Complete documentation for the map configuration can be found in the [API docs `MapConfig` section]({{site.url}}/docs/MapConfig). ### Minimal example No configuration is required to render a Cesium map, but with no config options specified, only an empty blue sphere representing the Earth in space will be rendered, along with a scalebar and a toolbar with an empty layer list. In the minimal example below, satellite imagery is rendered directly from Bing maps (thus a Cesium token is not required), and all of the extra UI elements are not rendered. The map will be positioned at the default location set in the `MapModel`. ```json { "layers": [ { "label": "Satellite imagery", "icon": "urn:uuid:77d43f50-c947-4600-889a-73c714aba54b", "type": "BingMapsImageryProvider", "cesiumOptions": { "key" : "someBingMapsAPIKeyHere", "url" : "https://dev.virtualearth.net", } } ], "showToolbar": false, "showScaleBar": false, "showFeatureInfo": false } ``` ### Detailed example Below is an example of a detailed map configuration (descriptions have been shortened): ```json { "homePosition": { "heading": 356, "height": 15375560, "latitude": 84.23277, "longitude": -106.79526, "pitch": -89.83940540045835, "roll": 0 }, "layers": [ { "label": "Ice Wedge Polygons", "icon": "urn:uuid:77d43f50-c947-4600-889a-73c714aba54b", "type": "Cesium3DTileset", "visible": true, "description": "Ice wedges form polygonal ice networks that enclose cells of frozen...", "cesiumOptions": { "ionAssetId": "634562" }, "colorPalette": { "colors": [ { "color": "#4fffb9" } ] } }, { "label": "Surface Water", "icon": "urn:uuid:d31ccc09-bf4b-477c-b299-d64d710f470e", "type": "Cesium3DTileset", "description": "This sub-meter resolution surface water layer was derived from the high...", "attribution": "Kaiser S, Grosse G, Boike J, Langer M. Monitoring the Transformation of Arctic Landscapes: Automated Shoreline Change Detection of Lakes Using Very High Resolution Imagery. Remote Sensing. 2021; 13(14):2802. https://doi.org/10.3390/rs13142802", "moreInfoLink": "https://doi.org/10.3390/rs13142802", "cesiumOptions": { "ionAssetId": "634566" }, "colorPalette": { "colors": [ { "color": "#33b1ff" } ] }, "filters": [ { "filterType": "categorical", "property": "DN", "values": [ 0 ] } ] }, { "label": "Lakes", "icon": "urn:uuid:d31ccc09-bf4b-477c-b299-d64d710f470e", "type": "Cesium3DTileset", "description": "The data quantify the abundance and distribution of...", "moreInfoLink": "https://doi.pangaea.de/10.1594/PANGAEA.922808", "downloadLink": "https://apgc.awi.de/dataset?tags=Lakes&product=Permafrost+Region+Disturbance&tags=Landsat", "attribution": "Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets. PANGAEA, https://doi.org/10.1594/PANGAEA.894755", "id": "https://doi.org/10.1594/PANGAEA.922808", "cesiumOptions": { "ionAssetId": "634564" }, "colorPalette": { "paletteType": "categorical", "colors": [ { "color": "#33b1ff" } ] } }, { "label": "Biophysical Permafrost Zones", "icon": "urn:uuid:6277300f-d580-4a12-945d-aeb68ffab490", "type": "Cesium3DTileset", "visible": false, "opacity": 0.4, "description": "This biophysical permafrost zonation map was produced...", "moreInfoLink": "https://iopscience.iop.org/article/10.1088/1748-9326/ac20f3", "downloadLink": "https://doi.org/10.11888/Geocry.tpdc.271659", "attribution": "Y.Ran, Y.; M. Torre Jorgenson.; Li, X.; Jin, H.; Wu, T.; Li, R.; Cheng, G. (2021): A biophysical permafrost zonation map in the Northern Hemisphere (2000-2016). National Tibetan Plateau Data Center, https://doi.org/10.11888/Geocry.tpdc.271659", "cesiumOptions": { "ionAssetId": "634560" }, "colorPalette": { "paletteType": "categorical", "property": "Type", "label": "Zone type", "colors": [ { "value": "Climate-driven", "color": "#FF3720" }, { "value": "Climate-driven/ecosystem-modified", "color": "#0370FE" }, { "value": "Climate-driven/ecosystem protected", "color": "#BFD1FF" }, { "value": "Ecosystem-driven", "color": "#4DE603" }, { "value": "Ecosystem-protected", "color": "#267301" }, { "color": "#ffffff" } ] } }, { "label": "Satellite imagery", "icon": "urn:uuid:4177c2e1-3037-4964-bf00-5f13182308d9", "type": "IonImageryProvider", "description": "Global satellite imagery down to 15 cm resolution in urban areas", "attribution": "Data provided by Bing Maps © 2021 Microsoft Corporation", "moreInfoLink": "https://www.microsoft.com/maps", "cesiumOptions": { "ionAssetId": "2" } }, { "label": "Some Test GeoJSON", "type": "GeoJsonDataSource", "description": "A single point specified using GeoJSON", "customProperties": { "year": { "type": "date", "property": "dateAndTime", "format": "YYYY" } }, "featureTemplate": { "template": "story", "label": "year", "options": { "description": "summary", } }, "cesiumOptions": { "data": { "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "Point", "coordinates": [102.0, 0.5] }, "properties": { "prop0": "value0", "dateAndTime": "2007-03-01T13:00:00Z", "summary": "This is an example point!" } } ] } } } ], "terrains": [ { "label": "Arctic DEM", "type": "CesiumTerrainProvider", "cesiumOptions": { "ionAssetId": "3956", "requestVertexNormals": true } } ], "showToolbar": true, "showScaleBar": true, "showFeatureInfo": true } ``` ### Configuring a Cesium Map section in a portal document To add a Cesium map visualization section to a portal document, cesium config json is added as an `option` within a `cesium` visualization section. Note that the JSON should be wrapped in `CDATA` tags. Example: ```xml
My Cesium Map
``` ## Useful links - [CesiumJS on GitHub](https://github.com/CesiumGS/cesium) - [CesiumJS website](https://cesium.com/platform/cesiumjs/) - Overview of Cesium, including information about Cesium Ion - [Cesium documentation](https://cesium.com/learn/cesiumjs/ref-doc/) - [Cesium sandcastle](https://sandcastle.cesium.com/) - For experimenting with Cesium, includes helpful examples and demos - [TerriaJS on GitHub](https://github.com/TerriaJS/terriajs) - a large application that also uses the CesiumWidget. Although Terria uses a customized and older version of Cesium, it can serve as a good reference. - [Planned features & known issues related to the Cesium Map in MetacatUI](https://github.com/NCEAS/metacatui/issues?q=is%3Aopen+is%3Aissue+label%3Acesium)