Sentences with phrase «time urban data»

Away from public meetings, she adds, more planners also find themselves working with new forms of real - time urban data and analytics techniques to assist with their work.

Not exact matches

The company also just announced the expansion of Uber Movement, a program intended to benefit urban planners and fueled by aggregated (and anonymized) Uber ride data, covering how different times and travel times can be impacted by major events and road closures.
This strong growth - driven by both occupancy and rate improvement and which was even stronger at upper upscale, urban, and luxury properties - comes at a time when economic data points have called into question the near - term sustainability of the U.S. economic recovery and would appear to demonstrate that as yet no reigns have been placed on corporate travel.
Even though it was produced by a financial site, the report isn't only concerned with charitable giving; time spent on «volunteering and service» also factored into the overall numbers which were compiled by looking at data from a collection of sources including Gallup, the Census Bureau, Department of Housing and Urban Development, the IRS and the organization Feeding America.
At the same time, the data show that breastfeeding is quite compatible with an urban industrial environment and that appropriate breastfeeding promotion can succeed anywhere.
These can arise from many technical issues, including data selection, substandard temperature station quality, urban vs rural effects, station moves, and changes in the methods and times of measurement
First they used the weather station data to determine how temperatures in Philadelphia's urban and surrounding rural areas had changed over time.
Comparison of spatially gridded minimum temperatures for U.S. Historical Climatology Network (USHCN) data adjusted for time - of - day (TOB) only, and selected for rural or urban neighborhoods after homogenization to remove biases.
-- 7) Forest models for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptation.
For example, Krueger (1998) uses data from the NAEP and documents test score increases over time, with large improvements for disadvantaged children from poor urban areas; the Current Population Survey shows declining dropout rates since 1975 for those from the lowest income quartile (Digest of Education Statistics, NCES 2012).
The Urban Institute's new report, Breaking the Curve: Promises and Pitfalls of Using NAEP Data to Assess the State Role in Student Achievement, proposes better ways to compare NAEP scores across states and over time.
Drawing on research with teachers, principals and superintendents in three urban districts, the Rennie Center's brief recommends that policymakers at both the state and district levels provide teachers with more time and support for the integration of data into their instructional planning.
Management - information systems that track attendance and other data can make a significant difference in the success of urban out - of - school - time programs, a new report says.
We present original survey data from an urban district illustrating that evaluators perceive more than three times as many teachers in their schools to be below Proficient than they rate as such.
The following year, the urban Title I school began using the Kickboard school culture system to make it easy for teachers and administrators to collect, analyze, share, and act on student behavior data in real - time.
In this study, the researcher used longitudinal data on student attendance patterns from a large urban school district to model trajectories over time and categorize students into groups based on their attendance patterns from 1st through 8th grades.
Ingersoll, one of the most extensive examiners of working conditions data, has found that leadership, empowerment, and time have striking connections to teachers» dissatisfaction — especially in high - poverty urban schools.
The first - time backyard chickens owner spends an average of $ 750 on the hobby, according to data provided by Tractor Supply Company, a retail chain based in Brentwood, Tennessee, that sells ample urban poultry wares in stores across 49 states.
As part of the calculation it needs to estimate the difference between rural and urban trends — it does this for the whole time - series and so will change as more data comes in.
NASA GISS obtain much of their temperature data from the NOAA who adjust the data to filter out primarily time - of - observation bias (although their corrections also include inhomogeneities and urban warming - more on NOAA adjustments).
The calculation needs to filter out the changes that have occurred over time that are not climate related (e.g. urban heat islands), then interpolate across regions where instrument data has historically been sparse (e.g. in the southern hemisphere and at sea), before an average can be taken.
However, the preliminary analysis includes only a very small subset (2 %) of randomly chosen data, and does not include any method for correcting for biases such as the urban heat island effect, the time of observation, or other potentially influential biases.»
In the same time the raw data for the non-compliant 3,4,5 class stations show 0.212 C and for all stations, urban and rural 1,2 — 0,155, for the class 3,4,5 stations raw 0.246 and for all stations adjusted 0.3.
The app pulls in data from Yelp, The New York Times, The Infatuation, New York Magazine, Eater, Urban Spoon, Foursquare, Time Out and Tripadvisor.
CPD 101: Business Enterprise Valuation CPD 102: Valuation of Property Impairments and Contamination CPD 103: Agricultural Valuation CPD 104: Hotel Valuation CPD 105: Highest and Best Use Analysis CPD 106: Multi-Family Property Valuation CPD 107: Office Property Valuation CPD 108: Seniors Facilities Valuation CPD 109: Lease Analysis CPD 110: Creative Critical Thinking: Advancing Appraisal to Strategic Advising CPD 111: Decision Analysis: Making Better Real Property Decisions CPD 112: Real Estate Consulting: Forecasting CPD 113: Request for Proposals (RFPs) CPD 114: Valuation for Financial Reporting - Real Property Appraisal and IFRS CPD 115: Appraisal Review CPD 116: Land Valuation CPD 117: Exposure & Marketing Time: Valuation Impacts CPD 118: Machinery and Equipment Valuation CPD 119: Urban Infrastructure Policies CPD 120: Urban Infrastructure Applications CPD 121: Submerged Land Valuation CPD 122: Expropriation Valuation CPD 123: Adjustment Support in the Direct Comparison Approach CPD 124: Residential Appraisal: Challenges and Opportunities CPD 125: Green Value — Valuing Sustainable Commercial Buildings CPD 126: Getting to Green — Energy Efficient and Sustainable Housing CPD 127: More Than Just Assessment Appeals — The Business of Property Tax Consulting CPD 128: Retail Property Valuation CPD 129: Industrial Property Valuation CPD 130: Residential Valuation Basics CPD 131: Commercial Valuation Basics CPD 132: More than Just Form - Filling: Creating Professional Residential Appraisal Reports CPD 133: Valuing Residential Condominiums CPD 134: Rural and Remote Property Valuation CPD 135: Buy Smart: Commercial Property Acquisition CPD 136: Waterfront Residential Property Valuation (Coming soon: 2018) CPD 140: Statistics 101: Math Literacy for Real Estate Professionals CPD 141: Exploratory Data Analysis: Next Generation Appraisal Techniques CPD 142: Introduction to Multiple Regression Analysis in Real Estate CPD 143: Appraisal Valuation Models CPD 144: Geographic Information Systems and Real Estate CPD 145: Introduction to Reserve Fund Planning CPD 150: Real Property Law Basics CPD 151: Real Estate Finance Basics CPD 152: Financial Analysis with Excel CPD 153: Entrepreneurship and Small Business Development CPD 154: Business Strategy: Managing a Profitable Real Estate Business CPD 156: Organizing and Financing a Real Estate Business CPD 155: Succession Planning for Real Estate Professionals CPD 157: Accounting and Taxation Considerations for a Real Estate Business CPD 158: Marketing and Technology Considerations for a Real Estate Business CPD 159: Human Resources Management Considerations in Real Estate (Coming Soon: 2018) CPD 160: Law and Ethical Considerations in Real Estate Business (Coming Soon: 2018) CPD 891: Fundamentals of Reserve Fund Planning CPD 899: Reserve Fund Planning Guided Case Study
This quarter's Skilled Nursing Data Report is the first time NIC is examining differences in occupancy and other statistics between properties in urban and rural areas.
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