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.