May 2021
May 2021
Analytica 6.0 is here!
This forthcoming major release contains a raft of goodies. You can draw influence arrows that are bent or curved, and set thickness, dashes, and colors. Graphs let you add a title, hide axis titles, use dashed lines, and change to log scale with a click. New File System functions let you list files, and create, copy, move, and delete files from inside Analytica. Frame nodes are a new object class, used in ACP to show graphs and tables of a selected object. It works nicely with ACP release 3, also in beta. If you have an Analytica subscription, Next time you run Analytica, if you have a subscription, it may show you an alert asking if you’d like to try out the beta release (or maybe it already did). Just click yes if you want to install it. See What’s new in Analytica 6.0? for details. |
Case Study: Analytica Climate Action Model, Santa Cruz
Cities across the US are taking serious steps to address local emissions by developing Climate Action Plans. The City of Santa Cruz was looking to access structured data at a local level to continue their climate action efforts. Check out this new case study about how Analytica allowed them to analyze municipality level data for their update process. Read more
Welcome to the team, Selina Hernandez!
Selina Hernandez, Sales Manager, has 10 years of business and sales experience with a focus on customer support. Selina’s broad background includes entrepreneurship, hospitality, and accounting. Based out of Phoenix, Arizona, in her spare time she enjoys hiking and camping with her significant other and two dogs. In joining the Lumina team, she is excited to grow the list of Analytica users as well as build upon the long-term relationships Lumina provides to its clients.
Tips and Tricks: Easy continuous distribution assessment
A common and convenient way to express the uncertainty for a quantity is to estimate its 10th, 50th and 90th percentiles. You can then use Analytica’s UncertainLMH( ) function to fit a smooth probability distribution to these 10-50-90 values. Try it yourself. Without consulting the internet or other reference, consider the “official” coldest recorded air temperature in the US State of Hawaii, in Fahrenheit. Before reading on, write down your own 10-50-90 estimates.
I did the same exercise and came up with UncertainLMH(-15, -5, 10) shown on the left. UncertainLMH() also lets you set a lower bound (e.g. rainfall which can’t be negative) and /or upper bound, and change the probabilities — e.g. to 5-50-95th percentiles. See UncertainLMH distribution on the Analytica Wiki for details.