Research on Kailas Venkitasubramanian

Switching from ArcGIS to QGIS (and a bit of R too)

Tue, 18 Feb 2025 00:00:00 +0000

I have been using ArcGIS for longer than I care to admit. I started with it during my postgraduate years, and for a long time it was just the GIS software, the one everyone used, the one you learned if you wanted to do spatial analysis seriously. Our university has an enterprise license, so it has always been available, and old habits die hard.

But lately, I find myself opening it less and less. And when I do, there is usually a nagging feeling that I could be doing this in QGIS instead.

On the travails of time management at Work

Mon, 13 Mar 2023 00:00:00 +0000

Time Study Goals

Find capacity for a pro-active research agenda
Identify and address bottlenecks in project management
Create better benchmarks for Project budgeting

Time Allocation

Actual Hours

Hover the plot for more details

Towards reproducible data science for community and policy research - An experiential roadmap

Mon, 06 Mar 2023 00:00:00 +0000

On developing a reproducible data science framework and practice at the Charlotte Urban Insitute

UI Data and Analytics Guide

Wed, 03 Aug 2022 00:00:00 +0000

Summary

Objective(s) and Scope

The project aims to create a comprehensive guide to all operational processes of the the Urban Institute, serving as a primary point of reference for all research staff in managing data and analytical resources of the institute.

The manual will be created using Rmarkdown, a tool that allows for the creation of rich, interactive documents. The manual will be hosted as a website that can be easily updated and maintained by team members.

Charlotte Regional Data Trust - Technical Operations Manual

Sat, 06 Aug 2022 00:00:00 +0000

On how we developed the technical operations manual at the Charlotte Regional Data Trust

Make your code purr - A short intro to iterating using PURRR in R

Tue, 10 May 2022 00:00:00 +0000

Introducing ‘Purrr’

What’s programming without iterating? Purrr is a package that provides a set of tools for working with functions and vectors in R.

Built on top of the map functions (e.g., lapply(), sapply(), etc.) in base R Purrr provides a more consistent and modern syntax. Purrr is particularly useful for performing repeated operations on lists and data frames. It provides a collection of functions that make it easier to apply functions to data, iterate over lists and vectors, and manipulate data in a flexible way.

CRDT Data Integration Project

Tue, 05 Oct 2021 00:00:00 +0000

Summary

Background

This is part of the CRDT Data Infrastructure project

Objective(s) and Scope

This project aims to develop improved data integration mechanisms for CRDT’s data assets, ensuring accurate and consistent data integration. This involves the development of an entity resolution framework and the implementation of probabilistic record linkage techniques to enhance the CRDT’s data integration processes.

The project will start with a comprehensive review of CRDT’s current data integration mechanisms and identification of areas for improvement. Based on this review, an entity resolution framework will be developed to ensure accurate identification of entities across different data sources. Probabilistic record linkage techniques will be implemented to link records from different data sources and provide a unified view of the data.