View the live app: San Francisco sketch
View the live app: Berlin Palace
Data provided by Berlin's Senatsverwaltung für Stadtentwicklung und Wohnen and processed in CityEngine by Stefan Arisona in this project. Link to the license for using the data
View the live app: Earthquakes
Data from USGS.
View the live app: WebScene Photobooth
Add your own webscene in the webscene url parameters https://ralucanicola.github.io/JSAPI_demos/webscene-photobooth/index.html?webscene=0614ea1f9dd043e9ba157b9c20d3c538.
This app uses the screenshot API to take a screenshot of a webscene and apply some filters on it. The filters were created by Joel Besada in the JSManipulate library. The icons are from FontAwesome.
View the live app:
Largest cities in 3D - local scene
Largest cities in 3D - global scene
This app came about by playing around with 3D symbols on a map for Noah's blog post on visualizing MapImageLayers in 3D.
View the live app: World population
Original Data:
Gridded Population of the World, Version 4 (GPWv4) Population Count, Revision 10 consists of estimates of human population (number of persons per pixel), consistent with national censuses and population registers. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. This dataset was aggregated to a resolution of ~110km at the equator. The resulting raster was converted to a point dataset. Read more about the data on SEDAC website.
View the live app: World population in 2020
Original Data:
Gridded Population of the World, Version 4 (GPWv4) Population Count, Revision 10 consists of estimates of human population (number of persons per pixel), consistent with national censuses and population registers. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. This dataset was aggregated to a resolution of ~110km at the equator. The resulting raster was converted to a point dataset. Read more about the data on SEDAC website.
View the live app: World globe by Giovanni Cassini
Original Data: World Globe scanned, georeferenced and published by David Rumsey Map Collection
My contribution was minimal in this app, I only display the published layer using ArcGIS API for JavaScript. Read more about how the map was brought into digital form here.
View the live app: World's biggest cities
View a tutorial on how to built this app: Tutorial
Technologies used:
- SceneViewer for creating the inital webscene
- ArcGIS API for JavaScript for creating the app
Original Data: Cities and countries feature layers from the Living Atlas.
View the live app: Urban development
Technologies used:
- CityEngine for creating and publishing the data
- SceneViewer for creating the inital webscene
- ArcGIS API for JavaScript for creating the app
Data: Original data created and published by Nik Davis and Devin Lavigne. © Houseal Lavigne Associates, LLC.
Orange buildings represent urban projects in development
View the live app: Urban development
Technologies used:
- ArcGIS Pro & CityEngine for publishing the data
- SceneViewer for creating the webscene
- ArcGIS API for JavaScript for creating the app
Original data:
View the live app: San Francisco public transport transit time
Technologies used:
- ArcGIS Pro for processing and publishing the data
- ArcGIS API for JavaScript for creating the app
Displaying Malta's elevation only using contour lines.
View the live app: Malta in contour lines
Technologies used:
- ArcGIS Pro for publishing the contour lines
- ArcGIS API for JavaScript for data visualization
Data:
- contour lines from OpenDEM.
View the live app: Indicity
Technologies used:
- ArcGIS Pro for publishing the data
- SceneViewer for creating the webscene
- ArcGIS API for JavaScript for creating the app
Original data:
- NYC Open Data - Art Galleries provided by DoITT
- NYC building data provided by DoITT
This app displays two scenes and allows user to switch between them by swiping.
View the live app: Scene Swiper
Technologies used:
- ArcGIS Pro for publishing the webscenes
- ArcGIS API for JavaScript for data visualizations
This app shows Christmas traditions in different countries around the world.
View the live app: Fun Christmas facts
Technologies used:
- Blender for creating the 3D models 🎁
- ArcGIS Pro for publishing the models as webstyles
- Inkscape for creating the illustrations
- ArcGIS API for JavaScript for data visualization
- Redux for app state management
Original data:
- Christmas vector tile layer by esri
- Country location data: Google public data published under CC BY 3.0
- Text data from www.whychristmas.com
- Various sources for images mentioned in the popup.
I found a dataset on art galleries in New York and thought it would be fun to map it. Here's what came out of it:
Read the blog post: ArcGIS Blog
View the live app: Art galleries in New York
Technologies used:
- ArcGIS Pro for data processing and publishing
- ArcGIS API for JavaScript for data visualization
Original data:
- NYC Open Data - Art Galleries provided by DoITT
- NYC building data provided by DoITT
- Watercolor basemap provided by Stamen Design