Fit multiple Lorentzian peaks from spectrogram
This post shows of to fit an arbitrary number of Lorentzian peaks (Cauchy distribution) using scipy.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
jlandercy
Adjustments of a statistical distribution
This post shows how to adjust statistical distribution on a random sampled dataset and assess precision of regressed parameters. Synthetic dataset We create a synthetic dataset by sampling random values from a Log Normal law: We also create a support…
Simultaneously adjust multiple kinetics
In this post we show how we can fit simultaneously multiple kinetics from ODE system using the scipy package. That is, we will regress parameters from multiples curves described by a dynamic system at once. To reach that goal, we…
Assess GPS Altimeter dataset with Brussels Official DEM
We present in this article a quick but complete overview of the GDAL powerful capabilities using a trivial example: assessing the GPS altimeter dataset compared with respect to Brussels’ Offical Digital Elevation Model. Goals are two: showing by examples how…
From GPS to PostGIS with simplicity
This article is a simple procedure to import your GPS data into PostGIS without pain, it merely boils down to: And you are done, your layer is now a table in PostGIS database that you can query as you wish.…
Building a tree structure with a recursive query in SQL
When modeling dataset we often need to represent hierarchical relation between objects. If the information is easy to store in a classical RDBMS querying the full hierarchical structure might not be obvious at the first glance. In this article we…
Make GeoDjango+DRF as flexible as you wish by binding Raw Query to Serializers
When building API with Django, Django Rest Framework is generally a good choice. If you need to extend the requirements to support GIS query then you will probably find the extension DRF-GIS convenient as it nicely fill the gap for…
Automatize your statistical tests with Python, Pandas and SciPy
Synthetic dataset First let’s import few packages to do the job. Now we can create a synthetic dataset to support the discussion: Pandas aggregation magic The key to make easy and flexible aggregation with pandas is to define function with…
Tropospheric Ozone correlations
In this post we review some well known properties of tropospheric Ozone. Exercise is performed on 10 years of observations through specific correlations between Ozone, Nitrogen Dioxide and meteorological parameters. Objective is to draw a knowledge baseline about the Ozone.
Adjustment of an ordinary differential equation
This post shows how ODE parameters as well as initial condition can be adjusted to experimental data using Python. Adjusting ODE parameters is good topic to introduces specific methodology such as parameter normalization and sample bootstrapping.