### Geo-Spatial Technology for Suitability and Priority Land Analysis

### Land Suitability and Priority Analysis

**is a very strong tool which provide platform to integrate**

*GIS***concepts together to**

*mathematical and logical***for planning, monitoring and management of land resources. Below article is one of the example in mathematical and logical concepts combined together to assess suitable or priority land for development purpose.**

*create, analyze and interpreted data*
Land suitability is the assessment
of a given type of land for a defined and priority use. The land may be
considered in its present condition or after improvements. The process of land
suitability classification is the appraisal and grouping of specific areas of
land in terms of their suitability for defined uses.

Land suitability
analysis aims to identify the most appropriate

**for future land uses based on specific requirements.***spatial pattern*Land
suitability analysis involves the application of criteria to the landscape to
assess where land is most and least suitable for development of structures and
infrastructure. Land suitability can be assessed using in

**by integration of mathematical models.***GIS environment* Multi Criteria Analysis (MCA) using

**for standardization of criteria and multiplying each criterion with its weight factor to produce suitability or priority areas.***GIS is a technique*Land suitability
analysis using GIS and the MCA approach has been applied to
landscape evaluation, to

**planning and urban development used MCA for delineation of suitable land for crops.***land use*MCA is able to handle
the discrete decision situations where the choice-possibilities are measurable
and data have a quantitative and/or a qualitative character.

It recommended
the

**and multi-criteria analysis methods to enlighten decision makers in solving problems that contain a spatial dimension. A multi-criteria analysis method can be used for suitability analysis or priority analysis, for example assessment of modeling urban change pattern dynamics and priority areas for forestry inventories.***integration of GIS*
Urban suitability helps to explain a
city’s growth patterns as well as environmental issues. The MCA decision
support tool can be implemented for land suitability analysis for

**. A decision is a choice between alternatives such as actions or land allocations, etc.***urban development*In MCA, an attempt is made to combine a set of criteria
to achieve a single composite basis for decision making, according to a
specific objective. This MCA method is based on a weighted linear combination
where criteria may include both weighted factors and constraints.

In weighted
linear combinations, factors are combined by applying a weight to each factor
and multiplying the suitability calculated from the factors by the product of
the constraints.

Land suitability can be assessed by two
main attributes, that is, geographical location and physical properties.
Geographical location can be defined as distance, such as the relative distance
of a piece of land from an urban centre, whereas physical properties include
soil properties,

**,***water conditions***, and size.***topography*Urban suitability or
priority areas for forest inventories are more related to location factors,

**, and topographic features. Factor weights are very important in weighted linear combinations because they determine how individual factors will be traded off relative to each other. Factors established in this phase are not unique, but they are the most relevant.***transportation conditions*Suitability levels for
each factor were classified and used as a base to construct the criteria maps
(one for each factor). The levels are 5 (very high suitability), 4 (high
suitability), 3 (medium suitability), 2 (low suitability), and 1 (very low
suitability).

Before calculating the weights for
factors, it is also important to standardize all factors on a common scale of
measurement to facilitate analysis, which is done using a fuzzy set approach.
The MCA process defined in simple steps below with figure illustration.

### STEPS for Multi Criteria Analysis using GIS and Remote Sensing:

- In MCA, an attempt is made to combine a set of criteria for decision making.
- The MCA method is based on a weighted linear combination it include both weighted factors and constraints.
- In weighted linear combinations, factors are combined by applying a weight and multiplying the suitability calculated from the factors by the product of the constraints.
- Suitability or priority levels for each factor used as a base to construct the criteria maps (one for each factor).
- The levels can be defined as very high suitability (5) to very low suitability (1).
- Before calculating the weights for factors, it is also important to standardize all factors on a common scale of measurement to facilitate analysis, using a fuzzy set theory.

Very nicely written article. In next update you may include case study to demonstrate the methodology.

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