Geographic Data: Linkages and Matching
Linking spatial and attribute data is a key part of using GIS effectively. If you connect the wrong kinds of data, it can make analyzing the information very confusing. Similarly, making sure different sets of data match up correctly is important too.
- Linkages: GIS combines different data sets to help answer questions. For example, if we want to know how many children under 10 years old are affected by malnutrition in a certain state, we need to connect data about the number of children in that age group with data about malnutrition rates. Once these are linked, we can compare them to find the answer we need.
- Exact Matching: Exact matching happens when we have data about the same things in different files, like information about towns in one file and more details about the same towns in another. We can easily bring this information together using a common key, like the town’s name.
- Hierarchical Matching: Sometimes, data is collected in different levels of detail and at different times. For example, we might have detailed information about land use in big areas but less detailed info about changes in smaller areas. To make these match up, we can add up the smaller areas until they match the bigger ones.
- Fuzzy Matching: In cases where the boundaries of smaller areas don’t line up perfectly with larger ones, we use fuzzy matching. This happens a lot with environmental data like crops and soil types. We overlay the maps and compare them to find relationships, even if the boundaries don’t match exactly.
A GIS can handle all of these tasks, but it’s important to remember that spatial information is only linked when it’s about the same place.
Sequence of GIS Activities| Practical Work in Geography Class 12
In this article, we will look into the topic of “Sequence of GIS Activities” from the NCERT Class 12 Practical Work Geography book. These notes are specially curated by an expert team at w3wiki for all the students.
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