Developing spatial agricultural drought risk index with controllable geo-spatial indicators: A case study for South Korea and Kazakhstan

Keyphrases

• South Korea 100%
• Risk Index 100%
• Geospatial 100%
• Spatial Indicators 100%
• Agricultural Drought Risk 100%
• South Kazakhstan 100%
• Risk Reduction 66%
• Disaster Risk 66%
• 2-sphere 33%
• Vulnerability 33%
• Policy Making 33%
• Data Quality 33%
• Risk Assessment 33%
• Spatial Data 33%
• Human Environment 33%
• Natural Disasters 33%
• Spatial Analysis 33%
• Spatiotemporal 33%
• Environmental Degradation 33%
• Model Combining 33%
• Built Environment 33%
• Two-component Domains 33%
• Adaptive Capacity 33%
• Climatic Factors 33%
• Data Availability 33%
• Kazakhstan 33%
• Risk Areas 33%
• Site-level 33%
• Risk Map 33%
• Hazard Exposure 33%
• Social-economic Factors 33%
• Administrative Level 33%
• Hazard Vulnerability 33%
• Domain Adaptive 33%
• Sustainable Society 33%
• Reasonable Scale 33%
• Prioritizing Risks 33%
• Risk Concept 33%
• Disaster Modeling 33%
• Domain Sensitivity 33%
• Socio-environmental Factors 33%
• Complex Disaster 33%

Earth and Planetary Sciences

• South Korea 100%
• Kazakhstan 100%
• Spatial Analysis 33%
• Spatial Data 33%
• Environmental Degradation 33%
• Built Environment 33%
• Natural Disaster 33%
• Weathering 33%
• Risk Reduction 33%