2026-02-23 17:35
On studying GIS in the Regional and Environmental Economics MA Program
1 Johnny Mok SC, BBS graduated from Diocesan Boys’ School in Hong Kong and Philips Exeter Academy in the US in 1975 and 1976 respectively. He obtained his bachelor’s degree in English from York University in 1980 and in History and Education from the University of Toronto in 1981. Later, he finished his studies of Bachelor of Laws and Postgraduate Certificate in Laws (with five distinctions) at the University of Hong Kong in 1985 and 1986. Johnny Mok SC, BBS was admitted to the Hong Kong Bar in 1986. In 2006, he was appointed Senior Counsel by the Chief Justice of the Court of Final Appeal. He has been appointed by the Standing Committee of the National People’s Congress to be one of 12 members on the Basic Law Committee. In 2013 and 2016, he was appointed as a Justice of the Peace and awarded the Bronze Bauhinia Star respectively. Johnny Mok SC, BBS’s practice is centred on cases involving public interest (especially in the field of constitutional law, Basic Law and administrative law). He regularly represents the Hong Kong Government, Secretary for Justice and various public bodies. Johnny Mok SC, BBS also has a range of practice encompassing a wide spectrum of commercial matters, telecommunication, securities transactions and commercial crimes. He also has a deep interest in areas ranging from FinTech, RegTech use of Big Data and other technology-related legal issues and advises public bodies and private enterprises on these matters. Judicial Review in Hong Kong (2nd Edition, LexisNexis), co-authored by Johnny Mok SC, BBS and Richard Gordon QC in England, has been adopted by the University of Hong Kong as its textbook at the Department of Law.
Dear Professor, Tózsa,
I want to share my personal thoughts on the GIS topics in the Spatial Analysis and Informatics course because I was originally a little confused by the digital world of Geographic Information Systems. It has been quite a journey or a tough challenge for me to get into this area as an older student (or retiree!) with little computer or IT knowledge. However, it has surprisingly helped me learn valuable things about spatial analysis & informatics in general and GIS in particular. The message below is a personal reflection on the process of me first meeting this course in fright, but then finally being able to realize the amazing takeaways I have learned with ease, especially how they relate to the broader goals of my MA in Regional and Environmental Economics program at John von Neumann University.
The basic terms and ideas of GIS, which at first seemed like a foreign language, are starting to become clearer. One important thing I learned is that GIS is basically a smart system for capturing, storing, analysing, managing, and presenting data based on spatial locations or positions. It isn’t just about making pretty maps, but more importantly it’s about “overlaying” or putting spatial data on top of each other to find patterns and connections that might be hidden in reports or spreadsheets. The difference between raster and vector data is technical, but it makes sense when we think about how to show continuous surfaces versus discrete features. For example, we can tell the difference between a raster image of a forest and a vector image of the mapped boundaries of each land parcel within that forest.
The basics of mapping, which go beyond just being able to read a paper map, have been very helpful too. Learning about datums, projections, and coordinate systems has made me realize how important it is to show the Earth's sphere correctly on a flat surface. It hits home for me that distortion is inevitable and that projections should be carefully chosen based on the map's purpose. This is especially true when I think about how economic data could be spatially misrepresented if it were not handled properly. The idea of scale and the difference between large and small maps have also been very useful in figuring out the right amount of detail for each analysis, whether we are looking at the economy in a certain part of Hungary or at trends in the whole European Union.
Another good learning experience from GIS is the way it helps me understand how complicated regional and environmental economics are. Many of the things we study – like differences in economic growth between regions, how environmental laws affect space, how resources are shared, and how goods and capital move – have a crucial geographical aspect or component. GIS gives us the smart or incredibly powerful tools to not only map these things but also look at how they relate to each other in space, find groups or outliers, and make better informed decision-making as a result. For example, using GIS to see the relationship between environmental damage and business activity in certain areas can be very useful for showing why specific actions need to be taken. Using a spatial lens also makes it easier to map how easy it is to get to infrastructure and how that affects economic growth in an area.
One of the most enlightening aspects of the course is the categorization of GIS applications into register-oriented, tool-oriented, and decision-oriented approaches, particularly in the context of municipal management modernization.
- Register-oriented GIS, I think, is the foundational step in making the digital inventory. Think about an old city that keeps paper records of land parcels, power lines, and public assets. These are turned into accurate, searchable, and always-updated digital records by GIS. In regional economics, this means having accurate, easy-to-find information on who owns land, how infrastructure networks work, and environmental protection zones. This information is necessary for figuring out how much land is worth, planning for development, and knowing how resources are distributed.
- Tool-oriented GIS then lets us use the software's analysis features to make the most of this digital data. Imagine that a city or town uses GIS tools to find the best routes for trash collection so that public services are delivered quickly and easily. In regional economics, this means finding the best ways to distribute resources, plan infrastructure development (like where to put new industrial zones to have the least impact on the environment or the most access to workers), or look at how easy it is to get to markets and services. All these things have a direct effect on how efficiently and fairly the regional economy works.
- Decision-oriented GIS (SDSS), for me, seems to be the most important part of GIS. This is where GIS really shines, as it lets us make choices by modelling complicated "what-if" situations before rules are put in place. Like when a city decides where to put a new public building. An SDSS can combine information about population density, how easy it is to get around, the cost of land, and how sensitive the area is to the environment. It can then model different choices to find the best site. In the field of regional and environmental economics, this could mean making and evaluating policies for regional growth, figuring out how environmental laws affect different areas, or planning long-lasting investments in infrastructure that consider many environmental, social, and economic factors. This change from simple data keeping to strong decision support has a lot to do with the evidence-based policymaking that our MA program promotes.
The course further expands my understanding by examining the wide range of functions GIS can perform across different municipal areas.
In property management, GIS enables precise cadastral mapping, risk assessment (e.g., mapping properties in flood zones, directly impacting insurance premiums and investment risk), and streamlined valuation. For regional economics, this is crucial for understanding land markets, property taxation, and the spatial distribution of wealth.
For logistics services, GIS functions like finding the best routes, managing fleets, and choosing warehouse sites are instantly clear. From a regional economic perspective, this means figuring out how to make the supply chain more efficient, finding the best trade routes, and looking at how economic activity is spatially distributed. For example, using GIS optimization to lower transportation costs directly raises the competitiveness of the area.
In recreation services, GIS helps with asset inventory, park planning, and even emergency preparedness in green spaces. This highlights how GIS helps measure and improve the "quality of life" part of regional economics, showing how valuable nature and recreational capital is.
For municipal consumption services (water, energy, waste), GIS is vital for network mapping, analysing consumption patterns, finding leaks, and making the best use of service routes. This has a direct effect on how resources are managed, how much public utilities cost, and efforts to make an economy more sustainable in an area.
Generally, GIS facilitates land use planning, infrastructure management, environmental monitoring, and citizen engagement. This holistic view shows that the way a city is organized and run has a big impact on both its economic health and its ability to protect the environment.
Finally, in urban health services, GIS is hugely competent to map disease outbreaks, analyse healthcare accessibility, and assess environmental health risks. This allows for spatial analysis of health inequalities and the economic impact of public health interventions.
One of the most striking takeaways I specifically reflect on is the integration of CAD with GIS to form a "digital twin" of infrastructure, linking design to operations. CAD provides the intricate, detailed engineering blueprints for building a road or a water pipe. GIS then takes this precise data and places it into the broader geographic context of the entire city's network, enabling continuous management, monitoring, and analysis over its entire lifecycle. This concept of a "digital twin" is revolutionary for regional and environmental economics, as it means we can model the economic costs and benefits of infrastructure throughout its lifespan, predict maintenance needs, assess environmental impacts in real-time, and make smarter investment decisions for regional development.
This leads directly to the rationale that GIS is an integral part of the Smart City. The course's emphasis on “almost every aspect of a city has a geographic component” really hits home. A Smart City isn't just about technology; it's about using technology to make data-driven decisions that improve efficiency, sustainability, and liveability. GIS provides the foundational spatial intelligence for this. It allows for the integration of data from countless sources (IoT sensors, citizen apps, government databases, etc.) into a single, comprehensive geographic view. This enables real-time monitoring of urban systems, predictive analytics for proactive management (e.g., anticipating traffic congestion or electricity outages), and increased transparency and community participation through geo-referenced information. In terms of regional and environmental economics, this means that Smart City projects powered by GIS can result in more resource-efficient urban economies, improved environmental results, and more equitable access to services within a region.
Looking ahead, the development prospects for GIS are extremely exciting, pointing to a future in which spatial intelligence is even more deeply integrated in almost every business and element of daily life. GIS is quickly changing from a specialist mapping tool to a widespread platform for spatial intelligence that works with new technologies like AI, IoT, and cloud computing. Its future includes increasing automation, real-time analytics, immersive experiences, and a key role in making society stronger, more efficient, and fairer.
All in all, my initial anxiety about GIS has turned into true enthusiasm, and I still have a lot to learn. The technical parts can be scary, but the basic ideas behind GIS and how it can be used to see and understand spatial data have become very useful to me. The Spatial Analysis and Informatics course has provided me with not just a technical skill, but a powerful conceptual framework. The ability of GIS to visualize, analyse, and manage complex spatial data is directly applicable to almost every topic we cover in regional and environmental economics – from regional disparities in income, to the spatial impact of environmental policies, the optimal placement of infrastructure, and the sustainability of urban growth. I no longer see maps simply as static pictures of places. Instead, I see them as living, breathing tools that help me understand how economic opportunities and environmental problems affect space not just in one region or country but almost everywhere around the globe. This new point of view will help me learn more about regional and environmental economics.
Lastly, thank you for this insightful learning experience.
Sincerely,
Ka Wing Mok
MA student,
John von Neumann University
31st May 2025