Services
>>> GIS
>>> Analysis
of Geographic Data
ANALYSIS - What? & Why?
The heart of GIS is the analytical capabilities
of the system. What distinguish the GIS system
from other information system are its spatial
analysis functions. Although the data input is,
in general, the most time consuming part, it is
for data analysis that GIS is used. The analysis
functions use the spatial and non-spatial attributes
in the database to answer questions about the
real world. Geographic analysis facilitates the
study of real-world processes by developing and
applying models. Such models illuminate the underlying
trends in geographic data and thus make new information
available. Results of geographic analysis can
be communicated with the help of maps, or both.
The organization of database into map layers
is not simply for reasons of organizational clarity,
rather it is to provide rapid access to data elements
required for geographic analysis. The objective
of geographic analysis is to transform data into
useful information to satisfy the requirements
or objectives of decision-makers at all levels
in terms of detail. An important use of the analysis
is the possibility of predicting events in the
another location or at another point in time.
ANALYSIS - How?
Before commencing geographic analysis, one needs
to assess the problem and establish an objective.
The analysis requires step-by-step procedures
to arrive at the conclusions.
The range of geographical analysis procedures
can be subdivided into the following categories.
- Database Query.
- Overlay.
- Proximity analysis.
- Network analysis.
- Digital Terrain Model.
- Statistical and Tabular Analysis.
Spatial Analysis
It helps us to:
- Identify trends on the data.
- Create new relationships from the data.
- View complex relationships between data sets.
- Make better decisions.
Geographic Analysis
Analysis of problems with some Geographic Aspects.
- Alternatives are geographic locations or areas.
- Decisions would affect locations or areas.
- Geographic relationships are important in
decision-making or modeling.
|