Accurate classification of bioclimatic data: spatial analysis |
|---|
| Giuseppe Passarella, Emanuele Barca, Delia Bruno, Sabino Maggi, Rita Masciale, Aimé Lay-Ekuakille |
- Abstract:
- This paper presents a general methodology for processing bioclimatic data in the spatial domain whose main goal is to derive indications related to the moisture/dryness level of a region and provide water management authorities with information about its irrigation requirements. The methodology uses point-scale measurements of weather related data to perform a detailed analysis of the spatial behavior of the corresponding bioclimatic indicators at the continuous regional scale. The proposed methodology, although more demanding in terms of computation resources, gives more accurate results than standard approximate approaches available in current GIS packages. This methodology has been applied to a particular case study using the well known De Martonne index as a bioclimatic indicator.
- Keywords:
- bioclimatic indices, time-series, kriging, spatial analysis
- Download:
- IMEKO-TC19-2017-016.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC19
- Event name:
- TC19 Symposium: Metrology on Environmental Instrumentation and Measurements
- Title:
7th EnvIMEKO "Nano systems & analytical nuclear measurements for pollution detection, energy sourcing, bio-sports functionalities, environment/human health and sustainable aggro-biotechnology"
- Place:
- Aguascalientes, MEXICO
- Time:
- 03 August 2017 - 04 August 2017