With a close look at match rate and spatial accuracy — This work was co-authored with Kai Kaiser and Mahdi Fayazbakhsh. All errors and omissions are those of the author(s). Geocoding is the process of converting addresses in text format — the information necessary to locate a building, a plot of land, or structure, generally used in a specific format and…

Summary statistics of geospatial raster and vector datasets bounded by polygon shapefiles — This work has been done entirely using publicly available data and was co-authored with Kai Kaiser. All errors and omissions are those of the author(s). Mapping information concerning the distribution of people is vital to a host of public policy questions across our planet’s different country settings. The ability to…

A curated list of impactful Global Use Cases — This work has been done entirely using publicly available data and was co-authored with Mahdi Fayazbakhsh and Kai Kaiser. All errors and omissions are those of the author(s). Quantifying human mobility patterns gives insights into many aspects of life from the regional and global spread of infectious diseases to economic…

A systematic literature review of research publications from public sector organizations — The field of Earth Observation (EO) from satellites has grown steadily and is expected to rise from its present value of $2.9 billion to $25.273 billion by 2040, according to estimates by Morgan Stanley. The use of such imagery, along with ground-based and aerial observations, has been in practice for…

Analysing the collection of high impact datasets cataloged on the Open Government Data (OGD) Platform of India in Python — This data story is written in collaboration with Sai Krishna Dammalapati. It is the year 1892 in which Data Democracy started to take its roots in India. Before this year neither people nor people’s representatives had much access to the government information. Even if the information was known, they were…

Capability-Complexity-Cost assessment of three Cloud-based Jupyter Notebook deployment options — This work was co-authored with Kai Kaiser. Also, special thanks to Pedro Camargo for his valuable feedback. All errors and omissions are those of the author(s). A rapidly expanding range of digital data and methods now provide significant opportunities to strengthen descriptive and prescriptive insights to better address the challenges…

with examples of real-world applications — Data-driven and Data-informed decision-making is now an integral part of private and public sector organizations. Unlocking the power of spatial data using specialized tools and techniques adds an additional level of insight and can create a significant impact on this decision-making process across sectors. Spatial data science for the uninitiated What is spatial data science?towardsdatascience.com

A data-based report on how India’s past and present will determine her post-COVID-19 future This data story is written in collaboration with Sai Krishna Dammalapati, a Data Journalist based in Hyderabad. The way Japan recovered from the Hiroshima and Nagasaki nuclear disaster is described as the Japanese economic miracle. Today…

By Parvathy Krishnan, Kai Kaiser, and Ashish Kalani The COVID-19 pandemic has led to a massive reduction of international and domestic air travel. …