A GIS (geographical information system)-based spatial data mining approach for optimal location and capacity planning of distributed biomass power generation facilities: A case study of Tumkur district, India

Energy ◽  
2013 ◽  
Vol 52 ◽  
pp. 77-88 ◽  
Author(s):  
Deepak Paramashivan Kaundinya ◽  
P. Balachandra ◽  
N.H. Ravindranath ◽  
Veilumuthu Ashok
Keyword(s):  
Data Mining ◽  
Power Generation ◽  
Information System ◽  
Spatial Data ◽  
Capacity Planning ◽  
Spatial Data Mining ◽  
Optimal Location ◽  
Geographical Information ◽  
Data Mining Approach

Emotional and Subjective Volunteered Geographical Information

2017 ◽  
pp. 97-112 ◽  
Author(s):  
Jiri Panek
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Spatial Data ◽  
Large Scale ◽  
Geographical Information ◽  
Emotional Information ◽  
Spatial Features ◽  
Spatial Locations ◽  
The City

Crowdsroucing of emotional information can take many forms, from social networks data mining to large-scale surveys. The author presents the case-study of emotional mapping in Ostrava´s district Ostrava-Poruba, Czech Republic. Together with the local administration, the author crowdsourced the emotional perceptions of the location from almost 400 citizens, who created 4,051 spatial features. Additional to the spatial data there were 1,244 comments and suggestions for improvements in the district. Furthermore, the author is looking for patterns and hot-spots within the city and if there are any relevant linkages between certain emotions and spatial locations within the city.

Crime hotspot mapping using the crime related factors—a spatial data mining approach

2012 ◽  
Vol 39 (4) ◽  
pp. 772-781 ◽  
Author(s):  
Dawei Wang ◽  
Wei Ding ◽  
Henry Lo ◽  
Tomasz Stepinski ◽  
Josue Salazar ◽  
...  
Keyword(s):  
Data Mining ◽  
Spatial Data ◽  
Spatial Data Mining ◽  
Related Factors ◽  
Data Mining Approach

scholarly journals Deformation information system for facilitating studies of mining-ground deformations, development, and applications

2014 ◽  
Vol 14 (7) ◽  
pp. 1677-1689 ◽  
Author(s):  
J. Blachowski ◽  
W. Milczarek ◽  
P. Stefaniak
Keyword(s):  
Data Mining ◽  
Information System ◽  
Spatial Data ◽  
Ground Deformation ◽  
Data Extraction ◽  
Three Dimensional ◽  
Horizontal Displacement ◽  
Spatial Data Mining ◽  
Calculation Of Parameters ◽  
Ground Deformations

Abstract. The paper presents the concept of the deformation information system (DIS) to support and facilitate studies of mining-ground deformations. The proposed modular structure of the system includes data collection and data visualisation components, as well as spatial data mining, modelling and classification modules. In addition, the system integrates interactive three-dimensional models of the mines and local geology. The system is used to calculate various parameters characterising ground deformation in space and time, i.e. vertical and horizontal displacement fields, deformation parameters (tilt, curvature, and horizontal strain) and input spatial variables for spatial data classifications. The core of the system in the form of an integrated spatial and attributive database has been described. The development stages and the functionality of the particular components have been presented and example analyses utilising the spatial data mining and modelling functions have been shown. These include, among other things, continuous vertical and horizontal displacement field interpolations, calculation of parameters characterising mining-ground deformations, mining-ground category classifications, data extraction procedures and data preparation preprocessing procedures for analyses in external applications. The DIS has been developed for the Walbrzych coal mines area in SW Poland where long-time mining activity ended at the end of the 20th century and surface monitoring is necessary to study the present-day condition of the former mining grounds.

The Distribution Network Reconfiguration Based on Spatial Data Mining

2013 ◽  
Vol 427-429 ◽  
pp. 2748-2751
Author(s):  
Jia Yin Sui ◽  
Ying Nan Wang ◽  
Zhe Ren
Keyword(s):  
Data Mining ◽  
Real Time ◽  
Spatial Data ◽  
Distribution Network ◽  
Load Forecasting ◽  
Spatial Data Mining ◽  
Geographical Information ◽  
Network Reconfiguration ◽  
Distribution Network Reconfiguration ◽  
Gis System

Distribution network reconfiguration is one of the essential functions of the DMS system; it can be attributed to a number of constraints of large-scale nonlinear combinatorial optimization problem in mathematics. The characteristic of load change of time and space will affect the results of load forecasting. Distribution network reconfiguration relies on the load forecasting results. This paper proposes the more realistic distribution reconfiguration scheme based on the GIS system with space information through spatial data mining. For the real-time and efficiency of effective assurance data, the interface design in GIS system and distribution automation system are also proposed. The geographical information and real-time information are connected seamlessly, so that this two system information is highly unified. The solution can provide the data basis for distribution reconfiguration scheme accurately, and improve power supply reliability of distribution network. It shows that through the example: GIS based on the spatial data mining can provide load in quantity, time, space prediction for the deeper research of distribution network reconfiguration.

scholarly journals Spatial Data Mining to Support Environmental Management and Decision Making—A Case Study in Brazil

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Carlos Roberto Valêncio ◽  
Fernando Tochio Ichiba ◽  
Guilherme Priólli Daniel ◽  
Rogéria Cristiane Gratão de Souza ◽  
Leandro Alves Neves ◽  
...  
Keyword(s):  
Data Mining ◽  
Environmental Management ◽  
Decision Making ◽  
Spatial Data ◽  
Spatial Data Mining

scholarly journals Deformation information system for facilitating studies of mining ground deformations – development and applications

2013 ◽  
Vol 1 (5) ◽  
pp. 4801-4831
Author(s):  
J. B. Blachowski ◽  
W. Milczarek ◽  
P. Stefaniak
Keyword(s):  
Data Mining ◽  
Information System ◽  
Spatial Data ◽  
Ground Deformation ◽  
Data Extraction ◽  
Three Dimensional ◽  
Horizontal Displacement ◽  
Spatial Data Mining ◽  
Displacement Fields ◽  
Ground Deformations

Abstract. The paper presents the concept of the Deformation Information System (DIS) to support and facilitate studies of mining ground deformations. The proposed modular structure of the system includes data collection and data visualisation components, as well as spatial data mining, modelling and classification modules. In addition, the system integrates interactive three-dimensional models of the mines and local geology. The system is used to calculate various parameters characterising ground deformation in space and time, i.e. vertical and horizontal displacement fields, deformation parameters (tilt, curvature and horizontal strain) and input spatial variables for spatial data classifications. The core of the system in the form of an integrated spatial and attributive database has been described. The development stages and the functionality of the particular components have been presented and example analyses utilising the spatial data mining and modelling functions have been shown. These include, among other things, continuous vertical and horizontal displacement fields interpolations, calculation of parameters characterising mining ground deformations, mining ground category classifications, data extraction procedures and data preparation, pre-processing procedures for analyses in external applications. The DIS has been developed for the Walbrzych Coal Mines area in SW Poland where long-time mining activity has finished at the end of the 20th Century and surface monitoring is necessary to study present day condition of the former mining grounds.

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