# data[].attributes.headline
Lab 6: Vector and Raster Overlay Analysis

# data[].attributes.subject
Lab 6: Vector and Raster Overlay Analysis

# data[].attributes.body
1  Download data administrative area from diva GIS website.

2  Convert all layers (point, polygon, line, weather, and land-use into RSO.

3   At layer rainfall, create rainfall accumulate, rainfall min and rainfall max by removing data less than 0mm. Cth Expression: rainfall => 0 (greater than).

4  Extract perlis boundary from layer Admin1_RSO.

5  Create buffer zone of line 100 m and find numbers of point is not within the distance.

6   Next, identify the rainfall volume from layer RainAcc and landuse type where the selected points fall.

7   Then, clear selection.

8   Find how many lines layer across the pertanian land type?

9    How many areas of polygon within 100m from road?

# data[].attributes.body
1.  Create Contour from DEM with different interval. try to see the difference
2. Create TIN
3. Display label
4. Watch youtube how to check accuracy between observed and predicted data using RMSE

# data[].attributes.body
How the spatial interpolation method can help and possible to be practiced in the surveying field?

spatial interpolation is a method that uses known values to estimate values at other points. spatial interpolation algorithms IDW, kriging, and spline can be applied in the surveying field. for example in bathymetric surveying.

Light detection and ranging (LIDAR) scanning technology is currently the most applied surveying method for data collection it is applied to capture land and seabed to create 3D elevation model along the coastline.

The GIS software, for instance, has been used to create digital soil mapping in various urban areas using kriging interpolation. In order to estimate the precipitation distribution, the GIS software was also utilized to compare spatial interpolation methods.

Throughout this data analysis, GIS software was utilized for spatial data exploration and surface production, as well as selecting several interpolation methods and statistical analyses that allowed us to create a DEM for a riverbed stream using data collected at discrete locations.

Reference; Testing different Interpolation methods based on Single Beam Echosounder River Surveying.Case Study: Siret River. Maxim Arseni. (10 November 2019)

# data[].attributes.body
Prepare the methodology involved to interpolate air quality values obtained from the Department of Environment (DOE) using Geostatistic of kriging interpolation.

# data[].attributes.attachment_link.title
Mind map summary GLS335 week 1 - Brainstorm by Damia Azizi

# data[].attributes.body
conclusion:

The practice of using overlay and other analytical approaches to examine the positions, properties, and relationships of features in spatial data in order to answer a query or gather relevant knowledge. It enables users to obtain new information from spatial data by extracting or creating it. For example, patterns, trends, and correlations in environmental data are investigated.

By using this we can explain the patterns, trends, and relationships that have been observed. in short, locational analysis is a sort of geographical analysis that aims to understand patterns of human behavior and their spatial expression in terms of mathematics and geometry.

# data[].attributes.body
Describe the functions and how to execute the process.

# data[].attributes.body
Converting geo data from hard copy or scanned image.

# data[].attributes.headline
Lecture :  8 Nov Topic Spatial Attribute Query | Vector Overlay Analysis | Geoprocessing Analysis Tool

# data[].attributes.subject
Lecture :  8 Nov Topic Spatial Attribute Query | Vector Overlay Analysis | Geoprocessing Analysis Tool

# data[].attributes.body
key words:
Vector Analysis Tools
1. coverage
2. shapefile -SHP, SBX, DBF, HML & -
3. geodatabase -GDB -MDB

Vector Overlay Analysis
- Union
- Intersect
- Identity
- Select by location

Geoprocessing analysis tool
- dissolve
- symetrical diff
- Clip
- Append
- Select = select by attribute
- erase
- split
- merge
- approx analysis
- spatial join

# data[].attributes.body
•Explain the types of geographic data

•Explain the function of basic overlay analysis

•Apply the appropriate vector overlay analysis method into appropriate GIS application or project

Outline the procedure to solve the GIS application

# data[].attributes.body
Solve this problem using select by attribute and select by location

a.   Find name = Persiaran Jubli Emas. How many roads are found in the database? Zoom to

b.   From the selection, state the name of points near to 70 m from Persiaran Jubli Emas

c.   From selection, clients only want restaurants and school. Remove other than that.

d.  Remove all selection

e. Find the total number of schools and restaurants in Kangar and Arau but not include Null.

# data[].attributes.body
In individual assignment folder

# data[].attributes.body
LAB WORK WEEK 4 & 5 PART 1

# data[].attributes.body
Task:
1. Create grid layer from kriging interpolation
2. Clip layer to the Malaysia Boundary

Output:
Screenshot of the last output of min, max and accumulate rainfall grid format created through kriging method

# data[].attributes.body
Task:

1. Export Table and Open in excel
2. Calculate the RMSE through excel
3. Compare with cross validation
4. Record calculation and add in youtube

Result:
2. RMSE = 0.178

3. compare with cross validation
IDW = 1.397
Kriging = 1.314

1.397 - 0.178 = 1.219
1.314 - 0.178 = 1.136

# data[].attributes.body
Task:

The Project Management Lifecycle (PMLC) is defines as how a project is managed effectively and efficiently from its conceptualization through implementation to its operationalization.  Explain the stage of project planning below:

-  Identify project activities
-   Estimate resource requirements
-   Construct workflow
-   Prepare project proposal

# data[].attributes.body
IDW, Inverse distance weighting

Continue from lab 7.
Content :
- IDW interpolation
- Export validation result to feature class
- Export validation result table in .dbf to calculate RMSE
- Calculate RMSE and compare in Excel

# data[].attributes.attachment_link.title
LAB WORK GLS335 | Lab 8 IDW Spatial Interpolation

# data[].attributes.body
LAB WORK WEEK 4 & 5 PART 2

Timestamp 4:14 solving problem using select by attribute and select by location

# data[].attributes.body
Download data from Open Source Map (OSM) & USGS

# data[].attributes.headline
Lab 9: Surface Analysis I, Elevation map

# data[].attributes.subject
Lab 9: Surface Analysis I, Elevation map

# data[].attributes.body
Vid content:
continue from lab 8
previously:
- clip kriging
- IDW result

this week:
- use data srtm from prev week 4-5 (that cover Perlis and half of Kedah)

data srtm
- data grid / raster
- here its state -16 to 929

1. data overlay with world topo
elevation yang tinggi or rendah

2. symbology - classify
(yellow to red) *originally
method - natural break

method - equal interval
(green yellow red)
result (green mostly to yellowish and red)

method - manual interval * for adjusting the value manually
10 classes - for more detailed results

natural break
60 (green)
120 (light green)
300 (yellow)
500 (orange)
900 (red)

- change the decimal to 0 -

3. appearance
- overlay
- transparency

4. tool: Extract by mask

5. create a map for elevation

under insert tab > new layout > choose map size
map frame > adjust map on layout > insert scale bar, arrow, legend, etc.

5. produce data slope
tools > spatial analyst tools > surface > slope

- tool: slope -
SRTM tiff
slope_SRTM1
degree
planner
meter
RUN

- result -
- slope
- white to deep brown
- shape; same as elevation diff color

6. change symbology

7. layer blend
- transparency 50%, etc etc

8. tool; extract by mask

9. produce slope map

10. export map
Share tab > output > import
choose file type > pdf, jpeg, png, tiff, etc

# data[].attributes.attachment_link.title
LAB WORK GLS335 | Lab 9 Elevation and Slope Map

# data[].attributes.body
Using data from week 6
- rainfall
- adm 00
- adm 01

Video content

create rainfall_acc

create rainfall_min

create rainfall_max

geostatistic wizard - kriging method

export layer to raster

extract by mask

# data[].attributes.attachment_link.title
LAB WORK GLS335 | Lab 7 Kriging Interpolation

# data[].attributes.body
Task assigned:
1. What is the differences between DSM, DEM and DTM?
2. Provide list of DEM can be assessed freely or paid with specific spatial resolution and applications.

# data[].attributes.headline
Lecture : topic 2  Spatial and attribute data query

# data[].attributes.subject
Lecture : topic 2  Spatial and attribute data query

# data[].attributes.body
Solve this problem.

1. You are looking petrol station within 10km from the exit of the highway. You also need a fast-food restaurant such as McDonald's and KFC) nearby the petrol station. Suggest your idea and procedure can be applied using both (attribute and spatial) data queries.

# data[].attributes.body
Topographic Production Tools

# data[].attributes.body
b)     Slope and elevation maps in raster data format are used for future development planning. As a geospatial technician, you are required to:

i)    Classify the slope and elevation maps;
ii)   Integrate both datasets into a single raster map;
i)     Convert into a vector data format.

Provide a suitable flow diagram to present the involved process to solve the given task. (10 marks)

# data[].attributes.body
GLS335-LECTURE-4/2

CASE STUDY

attribute data query & overlay data query

normal question; level 1 question

state?identify question (usually 5m)
answer with points.

define - short essay. (usually 5m)
general question

C2 - question like explain/describe/discuss
based on your opinion

ex; your company hv problem --- how can u do this and that...

C3- procedure type question
soalan datang drpd laboratory. (usually 10m)

start with data

'propose the procedure' - mean explain.

based on case study:
layer road, layer river, land tenure in land use (LU)

data landuse
1. type (water, waste land etc)
2. status (freehold, leasehold etc)
3. ID

road
- tools ;
buffer 500
buffer 1000
then,
tool ;
erase [layer erase road]

river
- tools ;
buffer 250
buffer 500
then,
tool ;
erase [layer erase river]

landuse
- tools;
select by attribute
type 'waste land' AND status 'Freehold'

----------------

1. add 3 layers (road, river and landuse) into the GIS software
2. check the coordinate system, make sure it is signed under malaysia coordinate system (wgs84, rso)
3. operation use buffer tool to generate the zone of 500m and 1000m (multiple or single buffer tool)
4. erase tool for 500m and 1000m for layer A (layer erase road)
5. repeat the procedure for river layer with distance 250m and 500m
6. then use select by attribute tool and add expression select landuse type =  'wasteland' AND status = ' freehold'
[ concept polygon on polygon > intersect ambil kawasan dalam]
7. overlay all the layer using intersect tool to determine the selected area (500-1000)

[within/ away from; soalan untuk buffer tool]
[clip tool; select inside only]

-------------------second case study-----------------------

layer;
road -line
buffer
result; buffer_road

hosp -point/polygon
buffer 5km - buffer layer
result; buffer_hosp

luar kwsn (away) 5km dlm 5km of road
erase
result; erase_road_hosp

[if question within 5km clip or intersect]

LU -polygon
select tool
expression ; landuse = type 'not forest'
result ; landuse_not_forest

final result ; intersect all layers
*overlay analysis

--------------------network analysis------------------

you are given 3 vector data a road network, fire stn, and emergency location of shah alam region. show your own procedure to find the shortest way/ closest facilities to guide the fireman.

layer;

road
>topology editing - to remove any errors**** (psuedo, etc etc)
>topo layer
network dataset ;
>declare [from nod to nod]
>network analysis
>shortest path

fire stn
>origin > declare
>network analysis
>shortest path

emergency location
>destination
>declare
>network analysis
>shortest path

run network > result direction.

--------------------------------------------------------------
tools append / merge / update - combine 2 data

# data[].attributes.body
Topographic production tools

# data[].attributes.attachment_link.title
PROJECT GIS: TOPOGRAPHIC PRODUCTION TOOLS