RASTER ANALYSIS

AIM:

The project purpose is to find suitable site for hospital purpose to be constructed for backward community living in the highland of palakkad district of Kerala. Government has already taken some bold measures to provide the health service coverage to this community. And also initiated various test for uplifting the society as well as cultural life apart from the health department (they have already constructed health center in this area) department such as agriculture and development has constantly giving them awareness of planned cultivation of various type of food grains. Because of this reason previous year , goog numbers of this community has migrated to the lowland area and started cultivation and were settled permanently in that locality.

Again the health department has decided to constructed one or more health centers in this locality.

After this project we will get a suitable site for the health centers.

Rank value of landuse:

Agriculture – 10

Forest – 7

Grassland – 5

Build up – 3

Open Scrub –2

1. Reclass of distance to the settlement = 50 % = 0.5  
2. Reclass of landuse =25 % = 0.25
3. Reclass of hospital distance = 12.5 = 0.125
4. Reclass of slope = 12.5% = 0.125

Total= 100 % = 1.00

1*0.5+2*0.25+3*0.125+4*0.125

MATERIAL USED : ArcMap 10.2

PROCEDURE

1.Open ArcMap 10.2  → click on blank template → hit ok/ double click

2.To add image : Add data → locate image → ok

(Add date for landuse , elevation, settlement, hospital)

3.Derive the dataset

a.For hospital

Spatial analyst → distance → Eculidean distance

Input – Hospital

Output – Hospital_dist

Environment – processing extend – change extend into same as elevation

Outcomes:

b.For settlement

Spatial analyst → distance → Euclidean distance

Input – settlement

Output – settle_dist

Outcomes:

c.For elevation or slope

Spatial analyst → surface → slope

Input → elevation

Output →slope_elev

Environment → output coordinate → set as specific below

Change special reference :  Project coordinate system → UTM → WG1984 → Northern Hemispheres → 43N

Outcomes:

4.Reclassification

Spatial analysis tool → reclass → reclassify

a.For Hospital

Input – Hospital_dist

Classify

Method – equal interval

Classes – 10

Output – re_hosp

(We need maximum distance away from the hospital, so provide maximum rank to maximum distance)

b.For Settlement,

Input – Settle_dist

Classify

Method → equal interval

Classes → 10

Click Reverse new value

(We need hospital near to the settlement area, so give maximum rank to minimum slope) Output – re_sett

Outcomes:

c.For Slope

Input –  slope_elev

Click Reverse new value

(We need minimum slope or flat area, so give maximum rank to minimum slope rank give to our priority order)

Output – re_slope

d.For landuse

Input – landuse

Reclass field – LU type

Enter the LU ranks given

Delete the entries of unwanted landuse types.

Classify

Classes 7

Output – re_land

Next

Weight overlay analysis

Spatial Analyst tool → Map algebra → Raster calculator

Reset*0.5 + reland*0.25 + rehosp*0.125 + reslop*0.125

Output – result

RESULT

Practice Material Link:
https://drive.google.com/open?id=1x2WOG0Z8_noZ6jUYdEgAc9rAylvWz6sM