This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.

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Answer
\frac{-73.97 -73.96 -73.95 -73.96 -73.98 -73.95}{6}$
Step 1: Identify the type of spatial choice problem from the map in Activity 1.2.
The map illustrates a scenario where an individual or entity selects multiple dumpsites (destinations) along the Hudson River, likely from a fixed starting point. This is a destination choice problem, as the decision involves choosing optimal or convenient dump locations in space.
Destination choice problem
Step 2: List the dumpsites from Figure 1 in Activity 1.3.
Examining the schematic map, the dumpsites are marked as discrete points along the Hudson River banks (approximately 5-6 sites visible, clustered between river bends and near road access points like the Henry Hudson Parkway). Label them as sites 1 through 6 from upstream to downstream:
Step 3: Hypothesize the point of origin.
The dumpsites form a tight cluster accessible by road (e.g., via parkway paralleling the river), suggesting minimal travel distance. The origin is the central point minimizing total distance to all sites (approximating the geometric median or centroid for uniform weights).
Approximate coordinates from map scale (lat ~ N to N, long ~ W to W): Assume sites at:
Centroid longitude:
Wait, misread scale; correct summation: Actual sum long: , yes W (adjust scale to map ~ -73.96 avg).
Centroid latitude:
The hypothesized origin is at approximately , near the central road access/industrial point on the map (east bank cluster center).
Reasoning: Dumper selects nearby sites to minimize cost/risk; centroid best fits observed pattern (no outliers).
Point of origin:
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This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.