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Showing results for: [ Economics ]
These models are the product of research undertaken under the 2017 APS Data Fellowship program. This collection included trained MITIE NER models that are ready for use with a standard MITIE library c... morelassifier. A summary Precision, Recall and F1 performance statistics table is included for future reference.less
Legacy data - NER model training - Published 02 Jun 2017
Software tool to visualise marginal abatement cost curves (MACC).
A marginal abatement cost curve (MACC) represents a set of options available to an economy to reduce pollution. MACC are valuable too... morels in that they help not only understand the costs associated with a variety of abatement options but also provide information about the amount of pollutants which can potentially be reduced. MACC have therefore become increasingly popular as instruments to inform policy discussions and to prioritize investment opportunities to reduce pollution. There are however not many tools available to produce MACCs with great flexibility which is why ABATE was developed.less
CLOSED1136 Reef Rescue BMP tools Whitten - Software development - Published 25 Mar 2017
This workbook contains the survey data reported in: "Sanderson, Todd; Reeson, Andrew; Box, Paul. Understanding and unlocking the value of public research data: OzNome social architecture report. Canbe... morerra: CSIRO; 2017. csiro:EP168075. https://doi.org/10.4225/08/58a5e8d940904"
There are two CSIRO Data Access Portal (DAP) surveys reported in the workbook, (1) a survey of depositors to the DAP, and (2) a survey of DAP withdrawers (users). Each of these were conducted under CSIRO Social Science Human Research Ethics Committee Approval: project 055/16 “Data Access Portal – costs and benefits for depositors and users”.
(1) The survey of depositors involved semi-structured interviews with depositors of research data collections on the DAP. This group were entirely composed of researchers within CSIRO. Depositors were interviewed using guiding questions which are presented here and in Appendix A of the report. A total of 15 data depositors from a wide variety of research disciplines accepted invitations and were interviewed. Because the interviews were semi-structured, not all questions were answered by respondents; the corresponding cells have been left blank. The interviews were conducted exclusively over the phone for a period of 30 minutes, during April 2016. In order to maintain their anonymity, some responses and some sections of responses have been removed. In these instances, a "YYYYY" will appear in the cell or text to indicate redaction.
(2) The survey of withdrawers (users) of the DAP involved a structured online survey with a focus on eliciting their assessment of the value of the data collections they were using. Withdrawers were presented with questions reported here and in Appendix B of the report. The survey was administered using a Survey Monkey application, to which a link was presented in a banner on the DAP webpage inviting users to participate. Banner advertising text: “Please help us understand the value of data in the Data Access Portal - to take part in our survey please visit https://www.surveymonkey.com/r/529MT2P”. The survey captured responses from 23 users over the period October 2016 - February 2017. less
OzNome Core - Data Access Portal - value of data survey - Published 22 Feb 2017
Contains a model for estimating the cost-effectiveness of rainwater tanks in South East Queensland (SEQ) covering the regions of Brisbane, Moreton Bay, Sunshine Coast, Ipswich and the Gold Coast. Thi... mores model runs in the @RISK software package (an application for Microsoft Excel), which uses Monte Carlo simulation to generate a probability distribution of the cost-effectiveness and to undertake sensitivity analysis.
The input variables draw upon recent research in the Urban Water Security Research Alliance which provided data about variables of cost and yield for rainwater tanks in the region. Input variables include:
Capital costs (rainwater tank, the pump, laying of a concrete slab for the tank to rest upon as well as plumbing and installation of both the tank and the pump);
Annual costs (operating costs such as energy use for the pump, maintenance costs such as desludging as well as replacement cycles for pumps and tanks over the period of analysis);
Yield variables (household demand and end use, connected roof area, rainfall pattern as well as the effect of up-scaling from a single rainwater tank to consider the yield of a large number of tanks).
For full details of the model, and references for the data sources used, please refer to: Hall, M. R. (2013). Review of Rainwater Tank Cost-effectiveness in South East Queensland. Urban Water Security Research Alliance Technical Report No. 105.less
1006.2 SEQ Life Cycle Analysis - Cost-effectiveness analysis - Published 01 Aug 2016
Using the Land-Use Trade-Offs (LUTO) model, this data collection was produced via a comprehensive, detailed, integrated, and quantitative scenario analysis of land-use and sustainability for Australia... more’s intensive-use agricultural land to 2050, under intersecting global change and domestic policies, and considering key uncertainties. We assessed land use competition between multiple land uses and assessed sustainability of economic returns and multiple ecosystem services at high spatial (1.1 km grid cell) and temporal (annual) resolution.
Results available are for 648 scenarios covering combinations of four global outlooks, three general circulation climate models, three domestic land-use policies, three productivity growth rates, three land-use change adoption hurdle rates, and two capacity constraint settings.
Outputs included for each scenario are:
- annual land-use layers
- summary data table
- graphical dashboard summary
- animation of potential land-use change, drivers, and impacts
This analysis was conducted in conjunction with CSIRO’s Australian National Outlook initiative to assess future potential land-use change and the impacts for the sustainability of ecosystem services. A full description of the methods and synthesis of the results can be found in the papers listed in the Related Information below and freely available via email from the author.
The data is provided to support a national conversation on the future for Australian land systems, public decision-making and policy design, and further scientific research.
SIP 59 LUTO land use modelling science p - Modelling - Published 07 Jun 2016
The maps in this data base identify most profitable land use in 2050. The information plotted on the maps is classified by current and potential land use, for seven scenarios assuming new land markets... more and recent trend agricultural productivity. Each scenario assumes a different level of carbon payment for single-species plantings, expressed as a share of the maximum payment in the very strong abatement scenario. Differences in payment rate arise from the level of global abatement incentives, interacting with biodiversity settings. The analysis assumes that no land shifts from native vegetation (including forest, woodland, shrubland and grassland) to agricultural use. The H3 map is for balanced land market settings. The CSIRO Data Access portal provides individual PowerPoint slides for each scenario, individual .tif files for each scenario map. Access to the Australian National Outlook Report and Technical Report can be found at http://www.csiro.au/nationaloutlook/.less
Integration Science and Modelling (ISAM) - Modelling - Published 14 Mar 2016
Seven case studies of MAR for water recycling are presented, three of which use infiltration techniques for recharge while the remaining four employ well injection methods for recharge. Economic asses... moresment of six of the seven case studies was carried out (the seventh is still under development). Case study locations where; i) Infiltration basins, WA, ii) Infiltration galleries, Perry Lakes and Floreat, iii) Soil aquifer treatment, Alice Springs, NT, iv) Aquifer storage and recovery, Bolivar, SA, v) Aquifer storage and recovery, Anglesea, Vic & vi) Groundwater Replenishment, Beenyup, WAless
AWRCE Impediments to MARRO - MARRO Project - Published 03 Nov 2015
These data contain Gini coefficient estimates (2001 and 2011), for different regions in Australia.
When referencing this material, please cite:
Fleming, D. and Measham, T. (2015) 'Income inequality a... morecross Australian Regions during the mining boom: 2011-11'. Australian Geographer 46(2), 201-214.less
Strategic: Spatial Analysis - Analysis of income distribution across regions - Published 18 Mar 2015