Analysis And Design Optimization Of Resonant Dc-dc Converters
DC Site Business Analysis No Optimization
Transcript of DC Site Business Analysis No Optimization
![Page 1: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/1.jpg)
Guy Ndjeng GIS
![Page 2: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/2.jpg)
Laws of Location science
Some locations are better than others for a given purpose and Efficient locations tend to beat inefficient ones.
Spatial context can alter site efficiencies.
Pure exploration.
It’s hard to find certain things in DC.
Programming (LBS)
![Page 3: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/3.jpg)
Methodological
Reuse network analysis methods with real data
Empirical
Based on the data we have, we are going to make suggestions on shopping centers site location without guaranteeing that we can validate/verify our results (approximation).
![Page 4: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/4.jpg)
Problem: Given the spatial distribution of shopping centers in Washington D.C, suggest a potential location for a new shopping that will offer both high/low products.
![Page 5: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/5.jpg)
“High/Low” goods shopping centers.
Didn’t consider the whole of DC.
Data we used are 3 years old.
Results will not be optimized.
![Page 6: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/6.jpg)
Validation/ Verification.
Accuracy / Approximation / Precision.
Optimization.
Environmental Impact.
![Page 7: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/7.jpg)
![Page 8: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/8.jpg)
![Page 9: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/9.jpg)
Network Datasets
Service Areas
Spatial Joins
OD Cost Matrix
![Page 10: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/10.jpg)
![Page 11: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/11.jpg)
![Page 12: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/12.jpg)
![Page 13: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/13.jpg)
![Page 14: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/14.jpg)
Site Analysis Matrix for Owners within facility 2 Count: 1383 Minimum: 4521.069923 Maximum: 5943.823062 Sum: 7173827.519801 Mean: 5187.149327 Standard Deviation: 293.283617 Site2 Analysis Matrix for Owners within facility 2 Count: 1383 Minimum: 4373.933307 Maximum: 6164.668041 Sum: 7161478.935235 Mean: 5178.220488 Standard Deviation: 418.342496
![Page 15: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/15.jpg)
Site location facilities problem do not have exact solutions.
Necessary for finding best/most suitable locations
Requires a combination of mathematical expressions/models/verification/validations algorithms.
![Page 16: DC Site Business Analysis No Optimization](https://reader033.fdocuments.us/reader033/viewer/2022051515/5526545e5503468e6e8b4c4b/html5/thumbnails/16.jpg)
D.C Demographics, http://en.wikipedia.org/wiki/Washington,_D.C.
A study of Access to healthcare centers in rural china, Evidence
from GIS Network Analysis, (http://www.chinapovmap.org/NR/rdonlyres/ennerdhljj4tqavpu7tapznr5zpk3obiezahk5oox3lilcnmyq3mux3qyawz6emysxiva43d2hdu
3p/GeographicAccesstoHealthCentersruralShaanxi.pdf)
ArcGIS Buses in Success (http://www.esri.com/industries/public_transit/index.html)