NACIS 2024

Visualizing Multidimensional Climate Data on the Web with Zarr and @carbonplan/maps
Kata Martin & Shane Loeffler, CarbonPlan
Climate data (and many other scientific datasets) are often massive, multidimensional, and challenging to get into desktop GIS and cartography tools, let alone a web map. @carbonplan/maps is an open-source tool for efficiently visualizing this complex data on the web by leveraging the emerging Zarr format and WebGL. Here we showcase its use in a recent project exploring a new dataset simulating the efficiency of ocean alkalinity enhancement (OAE), a carbon removal technique. The OAE Efficiency Map allows exploration of nearly 700 global ocean simulations, allowing scientists and system actors to get a better sense of where and when the most effective carbon removal is possible.

Felt in Action
Mamata Akella, Felt
Felt is a powerful tool for data exploration, spatial analysis, cartography, and collaboration. It enables more people in your organization to work with maps and collaborate in real time through its modern, easy-to-use interface packed with powerful features. Join this talk to learn how to work with a variety of data formats, advanced filtering and search capabilities, robust spatial analysis tools, and intuitive cartographic controls that together, simplify the data exploration and mapmaking process and are uniquely Felt. Whether you are a beginner or an experienced professional, see how Felt improves workflows, enhances team communication, and enables informed decision-making through practical examples and a live demo.

Integrating Use-Specific Styles into a Generalized Map Hierarchy
Lauren James, Apple
Apple’s Maps app is constantly evolving as we create new offerings for our users. Our latest undertaking necessitated integrating new data into an existing hierarchical structure, with emphasis on a considered and balanced redesign of layers. This challenging puzzle included needed technical advancements across several codebases and a cross-functional effort. Maps’ Cartography team will present the design and data decisions behind this undertaking.

A New Tool For Interactive Flow Mapping
Paulo Raposo, University of Twente, The Netherlands
Drawing cartographically-refined origin-destination (OD) flow maps in automated or semi-automated digital contexts remains difficult. This research presents a new, interactive and semi-automated tool for OD flow map creation. Realized in a free and open-source application that runs using Python scripts and web technologies, this tool allows users to adjust the shape of OD flow arrows either universally or on a per-flow basis. A preview of the output flows is rendered live to the user as they make flow path adjustments. Output in georeferenced vector formats is exportable from the app for use in other settings, such as geographic information systems (GIS), web maps, or graphic design software.