Spatio-temporal Complexity Analysis of the Sea Surface Temperature in the Philippines

Ocean Sci. Discuss., 6, 2831-2859, 2009

Z. T. Botin, L. T. David, R. C. H. del Rosario, and L. Parrott

“A spatio-temporal complexity (STC) measure which has been previously used to analyze data from terrestrial ecosystems is employed to analyse 21 years of remotely sensed sea-surface temperature (SST) data from the Philippines. STC on the Philippine wide SST showed the monsoonal variability of the Philippine waters but did not show significant differences between El Niño, La Niña and normal years. The spatial domain was subsequently divided into six thermal regions computed via clustering of temperature means. The STC values of each thermal region showed variations corresponding to the monsoonal shifts – as well as – to ENSO events. STC characterized environmental heterogeneity over space and time has the potential to define limits of bio-regions. The same approach can be utilized for many long-term remotely sensed data.”

ESRI Releases “GIS for Climate Change” Best Practices e-Book, 2nd Edition

ESRI has released the second edition of it’s free best practices e-book title “GIS for Climate Change.”  The second edition features a new introduction by ESRI president Jack Dangermond and Dr. James Baker of the William J. Clinton Foundation.  Articles include:

  • The Nature Conservancy Deploys ESRI Technology for Climate Trend Analysis
  • Assessing Economic Biomass Resources in California with GIS
  • Carbon Nation
  • Building an Oasis in the Desert
  • Conserving Bolivia’s Critical Resources
  • Mapping the Solar Potential of Rooftops
  • Harvesting Efficiently Using Mobile GIS
  • Mapping the Ayles Ice Shelf Break
  • National Carbon Sequestration (NatCarb)
  • Renewable Energy—No Longer the Impossible Dream!
  • Westchester County’s Green Map Aids County Global Warming Task Force Plans

Download the free e-book now [PDF]

Crowd Sourcing for Updating National Databases, 8 – 9 September 2010, Bern, Switzerland

8 – 9 September 2010, Bern, Switzerland

“Based upon the promising result of the 1st EuroSDR Workshop on Crowd Sourcing for Updating National Databases, held at the Federal Office of Topography (swisstopo), Wabern, Switzerland on August 20-21, 2009, we invite you to participate in this follow up symposium.

“The symposium aims at strengthening the collaboration of the (National) Mapping and Cadastral Agencies (NMCA), the research communities and companies in the field of user generated contents, which is identified as an important and valuable input in map or GEOdata updating procedures, contents generation and interactions with the users. The symposium should help overcome the lack of experience, knowledge of interaction schemes, of techniques, of legal aspects and of production process integration aspects. The symposium topics are focussed on volunteered GEOdata aspects (not vernacular geography or data mining topics).”

Post Doc Opportunity: Plant-Soil-Geologic Relationships, University of California, Davis

“Qualified applicants are sought for an interdisciplinary study of plant-soil-geologic relationships.

“Requirements include a completed PhD in a relevant discipline; research and educational experience that bridges plant ecology, soil science, and/or earth sciences; and a strong academic record. Familiarity with ultramafic (serpentine) rocks, soils, and vegetation and experience with geographic information systems (GIS) would be advantageous. The successful applicant will develop and carry out research that meets the goals of the project described below, working with substantial independence under the supervision of an ecologist, a soil scientist and a geologist.

“Plant species and communities on ultramafic (“serpentine”) rocks and soils contribute greatly to California’s outstanding botanical diversity. Such species confined to island-like exposures of special soil presumably have extremely limited abilities to survive climatic warming through either latitudinal or elevational migration. In three existing, funded projects, we are experimentally assessing the limits to natural and assisted migration in serpentine plants. In the proposed work, we will deepen our understanding of the role of geologic and soil variation in determining such limits.

“Specifically, we will ask (1) Are widespread and fire-dependent chaparral shrub species locally adapted, either to ultramafic versus sandstone-derived soils, or to north versus south slopes (2) Do ultramafic soils on north versus south slopes differ systematically in their chemical and/or physical properties, in ways that may limit the ability of endemic plant species to shift their distributions to cooler locations (3) Given adequate information on geologic and soil variation, can we predict locations at which serpentine-endemic species may be successfully transplanted or restored.”

Diagnostic Techniques Applied in Geostatistics for Agricultural Data Analysis

Rev. Bras. Ciênc. Solo vol.33 no.6 Viçosa Nov./Dec. 2009

Joelmir André Borssoi; Miguel Angel Uribe-Opazo, and Manuel Galea Rojas

“The structural modeling of spatial dependence, using a geostatistical approach, is an indispensable tool to determine parameters that define this structure, applied on interpolation of values at unsampled points by kriging techniques. However, the estimation of parameters can be greatly affected by the presence of atypical observations in sampled data. The purpose of this study was to use diagnostic techniques in Gaussian spatial linear models in geostatistics to evaluate the sensitivity of maximum likelihood and restrict maximum likelihood estimators to small perturbations in these data. For this purpose, studies with simulated and experimental data were conducted. Results with simulated data showed that the diagnostic techniques were efficient to identify the perturbation in data. The results with real data indicated that atypical values among the sampled data may have a strong influence on thematic maps, thus changing the spatial dependence structure. The application of diagnostic techniques should be part of any geostatistical analysis, to ensure a better quality of the information from thematic maps.”

Spatial Analysis Helps Identify New York City Locations with High Incidence of Pedestrian Fatalities and Severe Injury Crashes

“Since the Fall of 2008, the Rudin Center researcher Dr. Hyeon-Shic Shin, in collaboration with researchers from Baruch College, State University of New York-Buffalo, Purdue University, and Rensselaer Polytechnic University, has been conducting a pedestrian safety study sponsored by the New York City Department of Transportation (NYCDOT). The study objectives are to identify priority locations for pedestrian safety treatments, priority street and intersections types, neighborhoods and populations, and to suggest planning and policy recommendations on pedestrian safety countermeasures.

“Focusing on the five boroughs of New York City, this study uses pedestrian fatal and severe injury crashes between 2002 and 2006. It investigates causal relationships between crashes and potential contributing factors such as socioeconomic characteristics, land use, street geometry, and many others. Using Geographic Information System’s spatial analysis functions (e.g., Moran’s I, Getis-Ord Gi, Kernel Density, and Cluster Analysis), 29 high crash locations throughout the City have been identified. Further analyses using advanced statistical models identified the potential contributing factors of pedestrian-vehicle crashes. Based on findings, planning and policy suggestions have also been provided to NYCDOT. The draft final report is currently in the review and revision stage. Upon approval, the findings from this study will be available as part of an upcoming NYCDOT report.”

[Source: New York Transportation Journal]