GIS for Starters: Encapsulated basics
Geographic Information System (GIS) is a computer based information system used to digitally represent and analyse various parameters of the globe. Popular use of GIS began in late 1970s and was initiated by Environmental System Research Institute Incorporation (ESRI) of Canada. Much of the credit for the early development of GIS goes to Roger Tomilson, a Canadian GIS specialist.
You may be aware that the earth’s surface not only comprises of spatial attributes, but has non-spatial attributes, which are non-graphic. To put it simply, map features can be quantified in terms of data, such as contours. This is a spatial data.
However when the information provides description about the characteristics of a map and also includes qualitative features, it is categorised as non-spatial. Well, parameters of the globe may have become clear to you, but what does digitally mean? Digitisation is nothing but the conversion of smooth lines, boundaries and so on, into a digital form to allow the computer to read it.

GIS is a computer-assisted system devised to store, retrieve, analyse and display spatial data arranged in a systematic manner. It can also be defined as a computer based system that provides the following sets of capabilities to handle geo-referenced data: –
- Data Input
- Data Management (data storage and retrieval)
- Manipulation and analysis
- Data Output
Geo-Reference
In some online mapping service, you may have seen satellite imagery. When these images are captured from a satellite or an airplane, they are just plain images, like photographs. But to display these images on a map, they need to be associated with map coordinates. This process is called Geo-Referencing. Once the image is associated with the map coordinates it can be overlaid on top of street maps.
Geo-Coding
When you type an address or a place name in the search box and in return the map shows a marker at the place. The process of associating an address or a place name with coordinates on the map is called Geo-Coding. In a spatial database this is done as a point layer with name of the place as an attribute to the point location. This is one way of Geo-Coding.
For addresses, the associated coordinates are not saved in a database directly, but computed using a method called linear referencing. The start and end addresses along a line segment are saved and intermediate addresses are interpolated and the coordinates are calculated.
With the knowledge of Geo-Referencing and Geo-Coding, it is now possible to link it to a database, which is nothing but a collection of information about spatial and non-spatial data and their relationship to each other.

Software
The software module is the core of GIS and should be application specific. It must be chosen according to the requirement. The functions of GIS software include storage, analysis and display of geographic information. QGIS – Formerly Quantum GIS, gVSIG, Whitebox GAT and SAGA GIS are some of the well-used free GIS softwares.
Map Creation
There are various techniques used for map creation for further usage in planning for a project. The map creation can be done by either an automated raster to vector creator, using vectorisation packages which convert directly from raster to vector, or manually vectorising, using the scanned images. These digital maps may be products of a survey agency or the result of satellite imagery.
GIS’s broad applications work in tandem with various fields from cadastral mapping, which is a map showing ownership of land-usually large in scale to accurately depict individual landholdings, to utility networks, topographic mapping, thematic cartography, surveying and photogrammetry remote sensing, image processing, computer science, rural and urban planning, earth sciences and geography.
It helps in urban planning, housing, transportation planning, architectural conservation, urban design and managing landscapes. Networking and Disaster Management is also its forte.
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Steve Ovett, the famous British middle-distance athlete, won the 800-metres gold medal at the Moscow Olympics of 1980. Just a few days later, he was about to win a 5,000-metres race at London’s Crystal Palace. Known for his burst of acceleration on the home stretch, he had supreme confidence in his ability to out-sprint rivals. With the final 100 metres remaining,
[wptelegram-join-channel link=”https://t.me/s/upsctree” text=”Join @upsctree on Telegram”]Ovett waved to the crowd and raised a hand in triumph. But he had celebrated a bit too early. At the finishing line, Ireland’s John Treacy edged past Ovett. For those few moments, Ovett had lost his sense of reality and ignored the possibility of a negative event.
This analogy works well for the India story and our policy failures , including during the ongoing covid pandemic. While we have never been as well prepared or had significant successes in terms of growth stability as Ovett did in his illustrious running career, we tend to celebrate too early. Indeed, we have done so many times before.
It is as if we’re convinced that India is destined for greater heights, come what may, and so we never run through the finish line. Do we and our policymakers suffer from a collective optimism bias, which, as the Nobel Prize winner Daniel Kahneman once wrote, “may well be the most significant of the cognitive biases”? The optimism bias arises from mistaken beliefs which form expectations that are better than the reality. It makes us underestimate chances of a negative outcome and ignore warnings repeatedly.
The Indian economy had a dream run for five years from 2003-04 to 2007-08, with an average annual growth rate of around 9%. Many believed that India was on its way to clocking consistent double-digit growth and comparisons with China were rife. It was conveniently overlooked that this output expansion had come mainly came from a few sectors: automobiles, telecom and business services.
Indians were made to believe that we could sprint without high-quality education, healthcare, infrastructure or banking sectors, which form the backbone of any stable economy. The plan was to build them as we went along, but then in the euphoria of short-term success, it got lost.
India’s exports of goods grew from $20 billion in 1990-91 to over $310 billion in 2019-20. Looking at these absolute figures it would seem as if India has arrived on the world stage. However, India’s share of global trade has moved up only marginally. Even now, the country accounts for less than 2% of the world’s goods exports.
More importantly, hidden behind this performance was the role played by one sector that should have never made it to India’s list of exports—refined petroleum. The share of refined petroleum exports in India’s goods exports increased from 1.4% in 1996-97 to over 18% in 2011-12.
An import-intensive sector with low labour intensity, exports of refined petroleum zoomed because of the then policy regime of a retail price ceiling on petroleum products in the domestic market. While we have done well in the export of services, our share is still less than 4% of world exports.
India seemed to emerge from the 2008 global financial crisis relatively unscathed. But, a temporary demand push had played a role in the revival—the incomes of many households, both rural and urban, had shot up. Fiscal stimulus to the rural economy and implementation of the Sixth Pay Commission scales had led to the salaries of around 20% of organized-sector employees jumping up. We celebrated, but once again, neither did we resolve the crisis brewing elsewhere in India’s banking sector, nor did we improve our capacity for healthcare or quality education.
Employment saw little economy-wide growth in our boom years. Manufacturing jobs, if anything, shrank. But we continued to celebrate. Youth flocked to low-productivity service-sector jobs, such as those in hotels and restaurants, security and other services. The dependence on such jobs on one hand and high-skilled services on the other was bound to make Indian society more unequal.
And then, there is agriculture, an elephant in the room. If and when farm-sector reforms get implemented, celebrations would once again be premature. The vast majority of India’s farmers have small plots of land, and though these farms are at least as productive as larger ones, net absolute incomes from small plots can only be meagre.
A further rise in farm productivity and consequent increase in supply, if not matched by a demand rise, especially with access to export markets, would result in downward pressure on market prices for farm produce and a further decline in the net incomes of small farmers.
We should learn from what John Treacy did right. He didn’t give up, and pushed for the finish line like it was his only chance at winning. Treacy had years of long-distance practice. The same goes for our economy. A long grind is required to build up its base before we can win and celebrate. And Ovett did not blame anyone for his loss. We play the blame game. Everyone else, right from China and the US to ‘greedy corporates’, seems to be responsible for our failures.
We have lowered absolute poverty levels and had technology-based successes like Aadhaar and digital access to public services. But there are no short cuts to good quality and adequate healthcare and education services. We must remain optimistic but stay firmly away from the optimism bias.
In the end, it is not about how we start, but how we finish. The disastrous second wave of covid and our inability to manage it is a ghastly reminder of this fact.