Bulk Interpolation Using the R Environment
Formal Metadata
Title 
Bulk Interpolation Using the R Environment

Title of Series  
Author 

License 
CC Attribution  NonCommercial  ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and noncommercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. 
Identifiers 

Publisher 

Release Date 
2013

Language 
English

Production Place 
Nottingham

Content Metadata
Subject Area  
Abstract 
The paper explains the development and application of a script for bulk assessment and interpolation of data in the R scripting language. In practice it is often required to analyze a large amount of spatial data from multiple periods of time. First, for familiarization with the data before their processing and second, in the process of spacetime analysis in the course of the research. For majority of analyzed quantities it is required to find out, if the analyzed data are changing in space, how the data change in time, whether there are errors in the processed data etc.. An optimal solution of this problem is using the R scripting language. R comes with many interpolation methods (kriging, IDW,
), possibility to use virtually any format of input data from text, csv, xls or other file formats and provides a large abundance of optional picture, plot and graphical outputs. It is also possible to generate picture and text plots for every insitu observation location of the examined quantity, do different statistical comparison and other applications. In short time it is possible to create a simple application that after minor modification can be employed for dealing with another bulk interpolation task. Thanks to this, after one exemplary application script has been created, it is possible to efficiently create and run additional modifications of the task, wheras other solution approaches (such as using desktop GIS programs) usually require a repetition of the same steps setting of color ramp and color interval breaks, creating output map layouts, adding lists of extra data layers, transformations of shapefiles to identical coordinate systems and additional processing for example statistical testing, creation of tables or creation of more plots that show a complete picture of the quantities' behavior. In our contribution, it is clearly demonstrated how the work with GIS data can be easily automated by using the R scripting language.

00:00
Interpolation
Presentation of a group
Computer animation
Multiplication sign
Integrated development environment
Interpolation
Cartesian coordinate system
Number
00:33
Point (geometry)
State observer
Slide rule
Workstation <Musikinstrument>
Multiplication sign
Computergenerated imagery
Workstation <Musikinstrument>
Field (computer science)
Volume (thermodynamics)
Insertion loss
Mereology
Variable (mathematics)
Type theory
Word
Film editing
Computer animation
Semiconductor memory
Sampling (music)
Spacetime
Quicksort
Endliche Modelltheorie
Vulnerability (computing)
Rhombus
Data type
02:06
Boss Corporation
Workstation <Musikinstrument>
Interpolation
Statistics
Machine vision
Variable (mathematics)
Geometry
Goodness of fit
Computer animation
Moving average
Spacetime
Quicksort
Interpolation
Task (computing)
Spacetime
Data type
03:03
Email
Freeware
Computer file
Open source
State of matter
Mountain pass
Multiplication sign
File format
Student's ttest
Arm
Number
Vector space
Software
Operating system
Integrated development environment
output
Data type
Scalable Coherent Interface
Octahedron
Matching (graph theory)
Decimal
Computer file
3 (number)
Statistics
Formal language
Hand fan
Inclusion map
Process (computing)
Computer animation
Raster graphics
Function (mathematics)
Energy level
Task (computing)
Window
04:43
Functional (mathematics)
Group action
Mapping
Observational study
Structural load
Mountain pass
Multiplication sign
Orientation (vector space)
Set (mathematics)
Matching (graph theory)
Discrete element method
Area
Set (mathematics)
Logic gate
ASCII
Library (computing)
Identical particles
Scale (map)
Point (geometry)
Cartesian coordinate system
Process (computing)
Computer animation
Raster graphics
Personal digital assistant
Function (mathematics)
Summierbarkeit
Right angle
Interpolation
Boundary value problem
06:42
Email
Functional (mathematics)
Structural load
Mountain pass
Line (geometry)
Multiplication sign
Maxima and minima
Electronic mailing list
Coordinate system
Mereology
Variance
Subset
Vector space
Boundary value problem
Software testing
Physical system
Chisquared distribution
Metropolitan area network
Workstation <Musikinstrument>
Decimal
Point (geometry)
Computer file
Sampling (statistics)
Coordinate system
Unified threat management
Subset
Computer animation
Raster graphics
Function (mathematics)
Order (biology)
Selforganization
Quicksort
Boundary value problem
Physical system
08:49
State observer
Interpolation
Algorithm
Observational study
Information
Kriging
Point (geometry)
Chaos (cosmogony)
Distance
Area
Type theory
Uniform resource locator
Data management
Computer animation
Raster graphics
Vector space
Different (Kate Ryan album)
Electronic visual display
Game theory
Interpolation
10:20
Information
Set (mathematics)
Instance (computer science)
Limit (category theory)
Shape (magazine)
Data model
Estimator
Computer animation
Personal digital assistant
Internetworking
Personal digital assistant
Order (biology)
Intercept theorem
Endliche Modelltheorie
Interpolation
11:25
Spectrum (functional analysis)
Interpolation
Linear regression
Code
Numbering scheme
Line (geometry)
Goodness of fit
Residual (numerical analysis)
Computer animation
CNN
Dedekind cut
Universe (mathematics)
output
Nichtlineares Gleichungssystem
Endliche Modelltheorie
Game theory
Quicksort
Interpolation
Extension (kinesiology)
Bounded variation
Physical system
13:36
Point (geometry)
Spectrum (functional analysis)
Interpolation
Mapping
Computer animation
Multiplication sign
Order (biology)
Demoscene
14:40
Dataflow
Mapping
Digital electronics
Computer file
Structural load
Image resolution
Multiplication sign
Computergenerated imagery
Matching (graph theory)
Plot (narrative)
Computer configuration
Software
Set (mathematics)
ASCII
Loop (music)
Probability density function
Multiplication
Image resolution
Cliquewidth
Computer file
Point (geometry)
Cartesian coordinate system
Subset
Computer configuration
Computer animation
Personal digital assistant
Interpolation
16:42
Mapping
Multiplication sign
Numbering scheme
17:03
Multiplication
Group action
Mapping
Scripting language
Multiplication sign
Source code
Statistics
Number
Data model
Number
Graphical user interface
Computer animation
Computer configuration
Logic
Software
Integrated development environment
Quicksort
Automation
Task (computing)
18:44
Functional (mathematics)
Presentation of a group
Mapping
Scripting language
Computer file
Mereology
Event horizon
Dimensional analysis
Variable (mathematics)
Different (Kate Ryan album)
Program slicing
Thermal radiation
Integrated development environment
Information
Website
Source code
Presentation of a group
Electronic program guide
Sampling (statistics)
Data analysis
Sample (statistics)
Computer animation
Raster graphics
Order (biology)
Website
Game theory
Quicksort
Interpolation
Spacetime
Row (database)
00:02
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02:17
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03:08
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04:16
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04:47
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05:44
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06:46
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07:53
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08:53
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09:30
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10:21
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10:27
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11:28
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12:58
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13:40
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14:06
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14:42
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15:53
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16:44
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16:52
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16:53
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16:57
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17:04
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17:09
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17:20
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18:47
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19:08
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