science

data science and GIS

Integrating GIS with Data Science

By • • Research, Teaching • , , • 5 minutes of reading

Introduction Data science is an interdisciplinary field focused on extracting meaningful insights and knowledge from data using a combination of scientific methods, algorithms, and systems. This field merges principles from statistics, computer science, and domain-specific expertise to analyze and interpret vast and complex datasets. The exponential growth in data availability, along with advances in computational capabilities, has made data science a cornerstone in decision-making processes across various sectors such as business, healthcare, and finance. According to Davenport and Patil (2012), data scientists have been recognized as holding the “Sexiest Job of the 21st Century,” a testament to the growing importance […]

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Navigating the Expansive Horizon of Spatial Data Science

By • • Knowledge, Public, Research, Teaching • , , • 4 minutes of reading

By Shahabuddin Amerudin Abstract In recent times, the realm of spatial data science has witnessed an unprecedented surge, propelled by the exponential growth of spatial data and its potential applications across diverse domains. This review article delves into the multifaceted world of spatial data science, spanning its foundational principles, practical applications, inherent challenges, and the evolving research trends that are shaping its trajectory. By exploring the intricate interplay of spatial data, complexities, and novel methodologies, this review aims to provide a holistic understanding of this dynamic and interdisciplinary field. Unveiling the Essence of Spatial Data Science The advent of the

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10 Python Libraries for GIS and Mapping

By • • Knowledge, Public, Research, Teaching • , , , , , • 4 minutes of reading

Python Libraries for GIS and Mapping Python libraries are the ultimate extension in GIS because it allows you to boost its core functionality. By using Python libraries, you can break out of the mould that is GIS and dive into some serious data science. There are 200+ standard libraries in Python. But there are thousands of third-party libraries too. So, it’s endless how far you can take it. Today, it’s all about Python libraries in GIS. Specifically, what are the most popular Python packages that GIS professionals use today? Let’s get started. First, why even use Python libraries for GIS?

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5 things to consider when choosing your career

By • • Knowledge, Public, Research, Teaching • , , , , • 1 minute of reading

Do you want to choose a career that minimises your risk of being replaced by a robot? Here are five things to think about: Study data science and/or get a job in data Choose a job that robots still can’t do well – focus on jobs that require skills like creativity, problem-solving and connecting with people on a human level Keep in touch with the job market to get an insight of which jobs are in demand and its average salary Be data savvy – learn how to use data to make decisions and solve problems Get familiar with artificial

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